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Not found

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Sorry 😔 we couldn’t find what you were looking for.

Go home.

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Go home.

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\ No newline at end of file diff --git a/assignments/aerial-imagery/index.html b/assignments/aerial-imagery/index.html index 642b565..0402951 100644 --- a/assignments/aerial-imagery/index.html +++ b/assignments/aerial-imagery/index.html @@ -107,4 +107,4 @@ print(url) return False

Run the script above in your preferred python environment, jupyter notebooks is a good option, you can also run it in a terminal

Once you have defined the function above call the function to download images.

satellite_squares("path-to-your-csv-file/test_points.csv","yourAPIkey",13,640)
-

Note on file paths: depending on where / how you are running this python script you may need to use either an absolute or a relative path to your csv files

Images for the latitude and longitude coordinates specified in your csv file will be downloaded into whatever location on your hard drive you are running the script from

Assignment

Use the Google Static Maps API to download satellite/aerial images for 20 - 100 significant locations of your choosing.

Design a layout to present the images on one or more slides (or GIFs)

Upload to Canvas:

Module by Dare Brawley, fall 2021.

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Note on file paths: depending on where / how you are running this python script you may need to use either an absolute or a relative path to your csv files

Images for the latitude and longitude coordinates specified in your csv file will be downloaded into whatever location on your hard drive you are running the script from

Assignment

Use the Google Static Maps API to download satellite/aerial images for 20 - 100 significant locations of your choosing.

Design a layout to present the images on one or more slides (or GIFs)

Upload to Canvas:

Module by Dare Brawley, fall 2021.

\ No newline at end of file diff --git a/assignments/archives/index.html b/assignments/archives/index.html index 9b8b85f..a5927c3 100644 --- a/assignments/archives/index.html +++ b/assignments/archives/index.html @@ -62,4 +62,4 @@ streams dig

Challenge

Design a map of NYC's disappeared ecologies.
Continue to digitize other natural features, such as marshes, topography, or shorelines. Each feature type should be its own new layer. Experiment with digitizing point, and polygon features.

Design a basemap using present day data for NYC such as building footprints, curblines, or other planimetric feature

Present your hidden ecologies map as a designed map composition that includes:

You do not need to map all of Manhattan but rather should find a location that interests you and make an argument about that location through your map design.

Assignment

Research and obtain a scanned map, georeference it, and then digitize selected features in order to produce a new map that has a different focus or narrative.
-More details over at Assignment 2

Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, spring 2024.

\ No newline at end of file +More details over at Assignment 2

Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, spring 2024.

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Intentional Re/Mis Use<!-- -->| <!-- -->A4407-sp2024
A4407-sp2024

Intentional Re/Mis Use

Due: 2/02

"Data are always collected for a specific purpose, by a combination of people, technology, money, commerce, and government." (Kurgan 2013, 35)

The main task

Find two digital spatial datasets about a place (that is not New York City) that are related to a topic that interests you and have some relevance to one another. Create a single map which uses these two datasets together to make an argument that was likely not intended by the original creator(s) of either dataset.

Write a pithy 2 sentence summary of your map's intended argument (think of this as something like gallery text that might accompany a work of art).

Requirements and considerations

  • The place you select must be somewhere that you have lived and/or spent a significant enough amount of time to know something about lived experience there.
  • Investigate the origins of your two datasets. Some starting points to cover (at a minimum): who made the data? what is/was the intended use(s) the data? when was the data made? how was it made?
  • Craft an argument through the juxtaposition, overlay, or presentation of the two datasets together in a map. This argument should try to in some way alter, stretch, or subvert the originally intended use of one or both datasets.
  • Research the appropriate projected coordinate reference system to use for your chosen place, reproject your data and map canvas accordingly (see tutorial 1)
  • Consider the role that the title and other map elements can play in assisting you in making your argument clear.
  • As you design your map choose one of the projects we have looked at thus far in class as a visual precedent (see slides posted on Canvas, examples on Miro boards, as well as the precedents page here), and imitate some aspect of its graphic style.

Format

  • Your final map must be a designed map composition on a single slide with a 16:9 aspect ratio.
  • Your designed map composition must thoughtfully include:
    • title
    • legend
    • scale bar
    • north arrow (your map doesn't need to have north be pointing vertically...)
    • citations for all data sources
    • projection used
    • your name

Submission

Upload your map:

  • as a PDF document to Canvas (the PDF should include your 2 sentence summary on a second page)
  • add it to the Miro board under Assignment 1 (with your gallery text as an annotation below your map)

Starting points/guidance

For sources for spatial datasets see:

A general rule of thumb for finding data: think about who would have the motivation (and the money/resources) to create the dataset you are looking for then try to research that entity.

I suggest working with vector datasets for this assignment (but not required). When looking for vector geospatial data you should be looking for one of these file types:

  • shapefile
  • geojson
  • KML/KMZ
  • a csv with latitude and longitude coordinates (review tutorial 1 for how to open something like this)

If you plan to use raster data you should be looking for something with a '.tif' format or that is called a 'geoTIFF' or 'geoJPG'

This guide to writing clear gallery text from the Victoria & Albert Museum is perhaps helpful in composing your map description.

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Intentional Re/Mis Use<!-- -->| <!-- -->A4407-sp2024
A4407-sp2024

Intentional Re/Mis Use

Due: 2/02

"Data are always collected for a specific purpose, by a combination of people, technology, money, commerce, and government." (Kurgan 2013, 35)

The main task

Find two digital spatial datasets about a place (that is not New York City) that are related to a topic that interests you and have some relevance to one another. Create a single map which uses these two datasets together to make an argument that was likely not intended by the original creator(s) of either dataset.

Write a pithy 2 sentence summary of your map's intended argument (think of this as something like gallery text that might accompany a work of art).

Requirements and considerations

  • The place you select must be somewhere that you have lived and/or spent a significant enough amount of time to know something about lived experience there.
  • Investigate the origins of your two datasets. Some starting points to cover (at a minimum): who made the data? what is/was the intended use(s) the data? when was the data made? how was it made?
  • Craft an argument through the juxtaposition, overlay, or presentation of the two datasets together in a map. This argument should try to in some way alter, stretch, or subvert the originally intended use of one or both datasets.
  • Research the appropriate projected coordinate reference system to use for your chosen place, reproject your data and map canvas accordingly (see tutorial 1)
  • Consider the role that the title and other map elements can play in assisting you in making your argument clear.
  • As you design your map choose one of the projects we have looked at thus far in class as a visual precedent (see slides posted on Canvas, examples on Miro boards, as well as the precedents page here), and imitate some aspect of its graphic style.

Format

  • Your final map must be a designed map composition on a single slide with a 16:9 aspect ratio.
  • Your designed map composition must thoughtfully include:
    • title
    • legend
    • scale bar
    • north arrow (your map doesn't need to have north be pointing vertically...)
    • citations for all data sources
    • projection used
    • your name

Submission

Upload your map:

  • as a PDF document to Canvas (the PDF should include your 2 sentence summary on a second page)
  • add it to the Miro board under Assignment 1 (with your gallery text as an annotation below your map)

Starting points/guidance

For sources for spatial datasets see:

A general rule of thumb for finding data: think about who would have the motivation (and the money/resources) to create the dataset you are looking for then try to research that entity.

I suggest working with vector datasets for this assignment (but not required). When looking for vector geospatial data you should be looking for one of these file types:

  • shapefile
  • geojson
  • KML/KMZ
  • a csv with latitude and longitude coordinates (review tutorial 1 for how to open something like this)

If you plan to use raster data you should be looking for something with a '.tif' format or that is called a 'geoTIFF' or 'geoJPG'

This guide to writing clear gallery text from the Victoria & Albert Museum is perhaps helpful in composing your map description.

\ No newline at end of file diff --git a/assignments/assignment02/index.html b/assignments/assignment02/index.html index 93a128e..e2a1104 100644 --- a/assignments/assignment02/index.html +++ b/assignments/assignment02/index.html @@ -1 +1 @@ -
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A4407-sp2024

Selective Digitization

Due: 2/09

What

Research and obtain a scanned map, georeference it, and then digitize selected features in order to produce a new map that has a different focus or narrative.

Think strategically about your basemap: What context is needed to understand the focus of your map?

Write a pithy 2 sentence summary of your map’s intended argument (think of this as something like gallery text that might accompany a work of art).

Requirements

  • Your final work must be a designed map composition in a single image with a 16:9 aspect ratio (1920x1080 pixels).

  • Select one of the map examples discussed thus far during class (look back at lecture slides and/or examples from precedents page and imitate some aspect of its graphic style when designing the map of digitized features. This is the best way to learn and practice designing beautiful maps.

  • Your designed map composition must include:

    • title
    • legend
    • scale bar (or two depending on whether you show your map at the same scale...)
    • north arrow (your map doesn't need to have north pointing vertically...)
    • citations for all data sources (please use Chicago style or an equivalent)
    • projection used
    • your name

Submission

  • Upload your designed map & a copy of the scanned map you georeferenced:
    • as a single pdf to Canvas (the PDF should include your 2 sentence summary on a third page))
    • add your map & the original scanned map (as well as your 2 sentence summary) to the Miro board under Assignment 2

Resources

Here are a few good resources for finding scanned maps:

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Selective Digitization<!-- -->| <!-- -->A4407-sp2024
A4407-sp2024

Selective Digitization

Due: 2/09

What

Research and obtain a scanned map, georeference it, and then digitize selected features in order to produce a new map that has a different focus or narrative.

Think strategically about your basemap: What context is needed to understand the focus of your map?

Write a pithy 2 sentence summary of your map’s intended argument (think of this as something like gallery text that might accompany a work of art).

Requirements

  • Your final work must be a designed map composition in a single image with a 16:9 aspect ratio (1920x1080 pixels).

  • Select one of the map examples discussed thus far during class (look back at lecture slides and/or examples from precedents page and imitate some aspect of its graphic style when designing the map of digitized features. This is the best way to learn and practice designing beautiful maps.

  • Your designed map composition must include:

    • title
    • legend
    • scale bar (or two depending on whether you show your map at the same scale...)
    • north arrow (your map doesn't need to have north pointing vertically...)
    • citations for all data sources (please use Chicago style or an equivalent)
    • projection used
    • your name

Submission

  • Upload your designed map & a copy of the scanned map you georeferenced:
    • as a single pdf to Canvas (the PDF should include your 2 sentence summary on a third page))
    • add your map & the original scanned map (as well as your 2 sentence summary) to the Miro board under Assignment 2

Resources

Here are a few good resources for finding scanned maps:

\ No newline at end of file diff --git a/assignments/assignment03/index.html b/assignments/assignment03/index.html index bf5c366..c893270 100644 --- a/assignments/assignment03/index.html +++ b/assignments/assignment03/index.html @@ -1 +1 @@ -
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A4407-sp2024

Collecting & Mapping

Due: 2/16

What

Complete either tutorial 4 or 5, and complete the corresponding assignment:

Tutorial 4: Making Data from Field Observations

Create a vector dataset of point locations through field work using the GPS receiver of a cell phone. The points should represent the locations of some thing (object, phenomena, landmark) that you encounter in the immediate surroundings of your everyday life or significant points along some kind of path (route, invisible border, etc). Design a map using the dataset you created.

Note: you may not use maptiles (Stamen, Open Street Maps, XYZ Tiles) as the basemap for this assignment but must instead locate data to design your own basemap (or design your map in such a way that a basemap isn't necessary...). See suggestions below for places to look for basemap datasets for NYC, if you are not in NYC then look for similar open data portals for your municipality.

How

After you have a grasp on the process of setting up a form to collect data using Kobo Toolbox as outlined in tutorial 4:

  • Decide on what you would like to collect data about. (Choose a location you can easily travel to and where you will feel comfortable being in public space.)
  • Write out what information you would like to collect about each point location (these will become the fields in the attribute table of the new dataset you are creating)
  • Design a form to collect point locations and each of the attribute fields you are interested in using the Kobo Toolbox website
  • Go out into the world and collect your data. (Please observe social distancing & wear a mask).
  • Export it as a CSV file, and create a map of it in QGIS

Requirements

  • Collect ten to fifteen data points, or as many as is necessary to convey what you hope to show in your map.
  • Design a map that uses a graphic/visual approach which is related in some way to the data it is depicting OR some aspect of the experience of collecting that data (draw on precedent projects !)
  • In assembling data for your basemap you might look to:

Reference

For reference here are the precedent projects we looked at in class on 2/09

Optional additional exercise

Use Field Papers to generate a paper atlas for the area where you are collecting data using Kobo Toolbox. While you are out in the field using your Kobo Toolbox data collection tool, record information about your topic using Field Papers as well.

Create two maps that speak to the different kinds of information that each approach allows you to gather.

Tutorial 5: Using Data for the US Census

Add another dataset from data.census.gov to provide a bit of context to our sample size percentage map from the end of tutorial 5.

Note: you may not use maptiles (Stamen, Open Street Maps, XYZ Tiles) as the basemap for this assignment but must instead locate data to design your own basemap (or design your map in such a way that a basemap isn't necessary...). See suggestions below for places to look for basemap datasets for NYC, if you are not in NYC then look for similar open data portals for your municipality.

How

  • Collect at least one more dataset, and add it by either layering it on, or by creating a new field in addition to our sample percentage.
  • Check the bottom of tutorial 5 under Challenge for a suggestion of some datasets that you might think to add.

Requirements

  • The dataset that you add must be from the US census.
  • As usual, add a two sentence summary of your map and argument to your pdf upload.
  • Design a map that is visually clear and makes an argument that someone unaquanted with the data could see.
  • Your map does not have to provide answers - but can rather ask more precise questions. Feel free to also zoom in a specific area if you think that that aids your argument.
  • If you think that mapping sample size vs population is actually a very bad way to go about this - feel free to make a map saying that!

Submission

  • Upload your designed map as a single pdf to Canvas (the PDF should include your 2 sentence summary on an additional page)
  • Add your map to the Miro board under Assignment 3
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Collecting & Mapping<!-- -->| <!-- -->A4407-sp2024
A4407-sp2024

Collecting & Mapping

Due: 2/16

What

Complete either tutorial 4 or 5, and complete the corresponding assignment:

Tutorial 4: Making Data from Field Observations

Create a vector dataset of point locations through field work using the GPS receiver of a cell phone. The points should represent the locations of some thing (object, phenomena, landmark) that you encounter in the immediate surroundings of your everyday life or significant points along some kind of path (route, invisible border, etc). Design a map using the dataset you created.

Note: you may not use maptiles (Stamen, Open Street Maps, XYZ Tiles) as the basemap for this assignment but must instead locate data to design your own basemap (or design your map in such a way that a basemap isn't necessary...). See suggestions below for places to look for basemap datasets for NYC, if you are not in NYC then look for similar open data portals for your municipality.

How

After you have a grasp on the process of setting up a form to collect data using Kobo Toolbox as outlined in tutorial 4:

  • Decide on what you would like to collect data about. (Choose a location you can easily travel to and where you will feel comfortable being in public space.)
  • Write out what information you would like to collect about each point location (these will become the fields in the attribute table of the new dataset you are creating)
  • Design a form to collect point locations and each of the attribute fields you are interested in using the Kobo Toolbox website
  • Go out into the world and collect your data. (Please observe social distancing & wear a mask).
  • Export it as a CSV file, and create a map of it in QGIS

Requirements

  • Collect ten to fifteen data points, or as many as is necessary to convey what you hope to show in your map.
  • Design a map that uses a graphic/visual approach which is related in some way to the data it is depicting OR some aspect of the experience of collecting that data (draw on precedent projects !)
  • In assembling data for your basemap you might look to:

Reference

For reference here are the precedent projects we looked at in class on 2/09

Optional additional exercise

Use Field Papers to generate a paper atlas for the area where you are collecting data using Kobo Toolbox. While you are out in the field using your Kobo Toolbox data collection tool, record information about your topic using Field Papers as well.

Create two maps that speak to the different kinds of information that each approach allows you to gather.

Tutorial 5: Using Data for the US Census

Add another dataset from data.census.gov to provide a bit of context to our sample size percentage map from the end of tutorial 5.

Note: you may not use maptiles (Stamen, Open Street Maps, XYZ Tiles) as the basemap for this assignment but must instead locate data to design your own basemap (or design your map in such a way that a basemap isn't necessary...). See suggestions below for places to look for basemap datasets for NYC, if you are not in NYC then look for similar open data portals for your municipality.

How

  • Collect at least one more dataset, and add it by either layering it on, or by creating a new field in addition to our sample percentage.
  • Check the bottom of tutorial 5 under Challenge for a suggestion of some datasets that you might think to add.

Requirements

  • The dataset that you add must be from the US census.
  • As usual, add a two sentence summary of your map and argument to your pdf upload.
  • Design a map that is visually clear and makes an argument that someone unaquanted with the data could see.
  • Your map does not have to provide answers - but can rather ask more precise questions. Feel free to also zoom in a specific area if you think that that aids your argument.
  • If you think that mapping sample size vs population is actually a very bad way to go about this - feel free to make a map saying that!

Submission

  • Upload your designed map as a single pdf to Canvas (the PDF should include your 2 sentence summary on an additional page)
  • Add your map to the Miro board under Assignment 3
\ No newline at end of file diff --git a/assignments/assignment04/index.html b/assignments/assignment04/index.html index 1ebab11..b9a5f56 100644 --- a/assignments/assignment04/index.html +++ b/assignments/assignment04/index.html @@ -5,4 +5,4 @@ scale bar north arrow (your map doesn't need to have north pointing vertically...) citations for all data sources (please use Chicago style or an equivalent) -projection used

Upload to Canvas and Miro:

Tutorial 7: Making Data from Aerial Imagery:

Use the Google Static Maps API to download satellite/aerial images for 20 - 100 significant locations of your choosing.

Design a layout to present the images on one or more pages (or GIFs)

Upload to Canvas:

Submission

Optional additional exercise

Do both!

\ No newline at end of file +projection used

Submission Materials:

Tutorial 7: Making Data from Aerial Imagery:

Use the Google Static Maps API to download satellite/aerial images for 20 - 100 significant locations of your choosing.

Design a layout to present the images on one or more pages (or GIFs)

Submission Materials:

Submission

Optional additional exercise

Do both!

\ No newline at end of file diff --git a/assignments/assignment05/index.html b/assignments/assignment05/index.html new file mode 100644 index 0000000..3351884 --- /dev/null +++ b/assignments/assignment05/index.html @@ -0,0 +1 @@ +
Where Next?<!-- -->| <!-- -->A4407-sp2024
A4407-sp2024

Where Next?

Due: 2/23

What

Complete either tutorial 8, 9, or 10+11 (as a pair) and complete the corresponding assignment:

Tutorial 8: Making Data from Street View

Use the Google Street View Static API to download street view images for 20 - 100 significant locations of your choosing. Also pay attention to the camera bearing/orientation.

Design a layout to present the images on one or more pages (or GIFs)

Submission Materials:

A multi page PDF with:

  • Page 1: the layout you designed, and a link to your google colab notebook.

  • Page 2: A screenshot of the directory on your computer where you have saved your downloaded images

  • A downloaded csv or geojson of your final dataset (on canvas)

Tutorial 9: Making Data in Python:

Now that we have recreated a portion of Tutorial 1 in Python, for the assignment please either:

  • Recreate tutorial 5 in your own notebook. (just the tutorial, not the challenge)
  • Wrangle your own data and map something else. (you must have at least one non-spatial dataset, and join it to a spatial one.)

Submission Materials:

  • A single page PDF with your map as a .png, and a link to your google colab notebook.
  • A downloaded csv or geojson of your final dataset

Tutorial 10+11:

Create your own story map, using one of the tutorials we have already made, or your own dataset.

Submission Materials:

A multi-page PDF with:

  • Page 1: a representative screenshot of your story map, with a title, two sentence summary, and a link to the live map.
  • Page 2: A representative screen recording of your story map (less than 30 seconds, does not have to be the full story).

Submission

  • Upload your work on Canvas (refer to specific instructions above)
  • Include it in your finalized Mapping Portfolio

Optional additional exercise

Do both!

\ No newline at end of file diff --git a/assignments/census-data/index.html b/assignments/census-data/index.html index 5a776da..19f44d9 100644 --- a/assignments/census-data/index.html +++ b/assignments/census-data/index.html @@ -58,4 +58,4 @@

I recommend picking a color ramp that won't lead us to conclusions - for example, a color ramp from white to blue has the effect of telling us that blue areas are good, and white need attention. Conversely, red to white signals that the white areas are fine. In truth, I'm not sure what to make of the results of this dataset yet, so I chose Cividis, which is blue to yellow. As a side note, if you ever need help picking the right colors for maps in the future, I highly recommmend Color Brewer 2

Go ahead and export this map to our processed folder, with a right click on the layer, Save Features As, and select the location. This ensures that your work is portable between QGIS projects, and won't get lost in a crash.

Adding a water layer

One thing that is confusing about the map, is that census tracts extend over water as well. This makes it difficult to read at times.

Download the [hydrogaphy basemap from NYC Open Data] (https://data.cityofnewyork.us/Environment/HYDRO/pjs3-c3z5/about_data), and add it to your project. Give it a blue-ish color that doesn't contrast with the data.

final map -

Final Map

Looking at our final map, what is it telling us? It is actually very interesting, and kind of surprising to me. In many cases, areas that are wealthier seem to have a lower sample size to final population estimate ratio, whereas communities I often think of as underserved sometimes show the opposite. This trend doesn't carry to many places, but why could this be? Is it because perhaps the ACS surveyors believe they have enough supporting data to accurately count the populations in wealthier areas, so they prioritize underserved communities? That would make sense, but it also could potentially mean that perhaps the sample ratio is higher in underserved communities, precisely because they are undercounted, and their population should be higher than in actually is. This map asks many more questions that it solves, which is exactly what you want.

Challenge

What other datasets could you add to what we have here to ask more questions, or start to provide answers about what our sample percentage means? Some datasets that could do that our:

Also, it may be helpful to do more background research on the datasets that we have used so far - perhaps something in there can point you in the right direction?

Module by Adam Vosburgh, Spring 2024.

\ No newline at end of file +

Final Map

Looking at our final map, what is it telling us? It is actually very interesting, and kind of surprising to me. In many cases, areas that are wealthier seem to have a lower sample size to final population estimate ratio, whereas communities I often think of as underserved sometimes show the opposite. This trend doesn't carry to many places, but why could this be? Is it because perhaps the ACS surveyors believe they have enough supporting data to accurately count the populations in wealthier areas, so they prioritize underserved communities? That would make sense, but it also could potentially mean that perhaps the sample ratio is higher in underserved communities, precisely because they are undercounted, and their population should be higher than in actually is. This map asks many more questions that it solves, which is exactly what you want.

Challenge

What other datasets could you add to what we have here to ask more questions, or start to provide answers about what our sample percentage means? Some datasets that could do that our:

Also, it may be helpful to do more background research on the datasets that we have used so far - perhaps something in there can point you in the right direction?

Module by Adam Vosburgh, Spring 2024.

\ No newline at end of file diff --git a/assignments/further-learning/index.html b/assignments/further-learning/index.html index fe01c81..527ee5f 100644 --- a/assignments/further-learning/index.html +++ b/assignments/further-learning/index.html @@ -1,2 +1,2 @@
Further GIS learning resources<!-- -->| <!-- -->A4407-sp2024
A4407-sp2024

Further GIS learning resources

Resources

This page provides a partially-annotated bibliography of mapping resources. -It includes map-related software tools/environments, data sources and archives, online learning resources, and finally other mapping classes you can take here at Columbia. It is by no means exhaustive but hopefully it might help each of you identify some new territory for exploration as you continue your journey with critical mapping.

Software Tools and Environments

Desktop GIS Software

  • QGIS - Used in the tutorials!
  • ArcGIS - Commercial GIS software you're likely to find in corporate settings & government agencies. Licenses are very expensive so generally not recommended for personal use.

Javascript Libraries for Web Mapping and Data Visualization

  • GitHub Pages - Not a javascript library but one of the easiest ways to publish a static website. (Used in Tutorials)
  • Mapbox GL - From the Tutorials!
  • OpenLayers - Yet another open-source map library. Support for many different raster and vector data sources.
  • Tangram - Another WebGL-based map library which lets you define custom styles directly rather than depending on vector tiles like Mapbox.
  • Leaflet - Open-Source javascript library for easy web maps, somewhat similar in functionality to Mapbox GL but not as good-looking.
  • D3 - Slightly complicated but very flexible library for interactive data visualization.

Jupyter Notebooks

These are beyond the scope of our 6-week class but provide a third category of environment for spatial data analysis. Here your workspace is a 'notebook' that combines blocks of text with code snippets (usually in Python or R) that share a common computational environment. Using different libraries, code snippets can also generate interactive, data-driven visualizations. Mostly these are used in more quantitative/programming-heavy workflows that deal with large datasets or complex computational requirements. If you're interested in working with census data or machine learning, this is a good space to explore.

Data Sources & Archives

Learning Resources

Columbia/Barnard

General Resources/Introductions

  • Programming Historian
  • Baruch College Newman Library GIS Guides
  • GIS StackExchange - StackExchange and related sites (StackOverflow for code/programming topics) are a great resource, especially for open-source GIS tools like QGIS which tend to be less rigorously documented than their commercial counterparts. However, you need to be careful that specific solutions you find here are relevant to the version of the software you're using - comments and threads here are usually more useful at a broader conceptual level than as a way to find viable examples and instructions. Look to the official documentation for these kinds of things as they'll almost always be more up-to-date.

Projections

Remote Sensing

Mapping Online/Webmaps

  • Web Developer Roadmap - As this will show you, web development is a huge topic with many different areas of specialization. This is a good structured overview of what's out there when/if you choose to go beyond the simple static site setup we used in the tutorials.

Blogs, Inspiration

Other Columbia/Barnard Classes

Resources compiled by Dare Brawley, Nadine Fattaleh, Carsten Rodin, Spring 2020-22.

\ No newline at end of file +It includes map-related software tools/environments, data sources and archives, online learning resources, and finally other mapping classes you can take here at Columbia. It is by no means exhaustive but hopefully it might help each of you identify some new territory for exploration as you continue your journey with critical mapping.

Software Tools and Environments

Desktop GIS Software

Javascript Libraries for Web Mapping and Data Visualization

Jupyter Notebooks

These are beyond the scope of our 6-week class but provide a third category of environment for spatial data analysis. Here your workspace is a 'notebook' that combines blocks of text with code snippets (usually in Python or R) that share a common computational environment. Using different libraries, code snippets can also generate interactive, data-driven visualizations. Mostly these are used in more quantitative/programming-heavy workflows that deal with large datasets or complex computational requirements. If you're interested in working with census data or machine learning, this is a good space to explore.

Data Sources & Archives

Learning Resources

Columbia/Barnard

General Resources/Introductions

Projections

Remote Sensing

Mapping Online/Webmaps

Blogs, Inspiration

Other Columbia/Barnard Classes

Resources compiled by Dare Brawley, Nadine Fattaleh, Carsten Rodin, Spring 2020-22.

\ No newline at end of file diff --git a/assignments/index.html b/assignments/index.html index f7fdc65..5cd314a 100644 --- a/assignments/index.html +++ b/assignments/index.html @@ -1 +1 @@ -
\ No newline at end of file +
\ No newline at end of file diff --git a/assignments/mapping-where/index.html b/assignments/mapping-where/index.html index 4389f8a..ce03060 100644 --- a/assignments/mapping-where/index.html +++ b/assignments/mapping-where/index.html @@ -83,4 +83,4 @@ graduated trees map

Assignment 0

Design a map, or a series of maps showing your Views of NYC Trees. This is an opportunity to experiment with the nuances between these different ways of representing (and indeed understanding) trees in New York City. Complete the next short module on the print layout functions of QGIS cartographic design before embarking on this.

Consider:
How can your design convey similarities and differences across each of the four ways of understanding trees of New York City?

Will you privilege one view over the others? or give equal voice to all four?

What are the limitations of each view? strengths of each view? how can you communicate these limitations/strengths through your graphic presentation of data?

Format:
-Your designed map compositions must thoughtfully include:

Submission

Upload your completed map to Canvas

Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2024.

\ No newline at end of file +Your designed map compositions must thoughtfully include:

Submission

Upload your completed map to Canvas

Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2024.

\ No newline at end of file diff --git a/assignments/observations/index.html b/assignments/observations/index.html index 641ad59..1a8a3bc 100644 --- a/assignments/observations/index.html +++ b/assignments/observations/index.html @@ -39,4 +39,4 @@ coordinate reference systems -

Remember from the Projections and Coordinate Reference Systems module that all GPS coordinates are collected in WGS84 coordinate reference system. If you look at the CRS for your newly collected data points you will see it is EPSG 4326, WGS84.

Before you continue to work with your newly collected data you should reproject it in a projected coordinate reference system that is well suited to the location you are mapping.

To do this right click the layer name in the layers panel, select Export then Save Features As specify the location where you will save this new dataset then use the select CSR button to choose the projected coordinate reference system that is best for your location.

You have now collected your own dataset and are ready to begin analyzing what you have collected, and to design a map that conveys a narrative based on your work.

Module by Dare Brawley, fall 2021.

\ No newline at end of file +

Remember from the Projections and Coordinate Reference Systems module that all GPS coordinates are collected in WGS84 coordinate reference system. If you look at the CRS for your newly collected data points you will see it is EPSG 4326, WGS84.

Before you continue to work with your newly collected data you should reproject it in a projected coordinate reference system that is well suited to the location you are mapping.

To do this right click the layer name in the layers panel, select Export then Save Features As specify the location where you will save this new dataset then use the select CSR button to choose the projected coordinate reference system that is best for your location.

You have now collected your own dataset and are ready to begin analyzing what you have collected, and to design a map that conveys a narrative based on your work.

Module by Dare Brawley, fall 2021.

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Precedents & Project Examples<!-- -->| <!-- -->A4407-sp2024
A4407-sp2024

Precedents & Project Examples

Living document of precedent projects....

General Critical GIS/Radical Cartography resources

Cartographic Projections + Mapping Existing Datasets

  • MĂśrtenbĂśck, Peter, and Helge Mooshammer, eds. Informal Market Worlds: The Architecture of Economic Pressure. Rotterdam: NAI010 Publishers, 2015.

Making Data from Archives

Making Data From Observation & Sensing

Making Data from Satellites

Maps & Narrative

New York Times Graphics Department map-forward stories:

\ No newline at end of file +

  • Fawaz, Mona, Dounia SalamĂŠ and Isabela Serhan. "Seeing the City as a Delivery Driver: Practices of Syrian Men in Beirut, Lebanon." in Refugees as City Makers eds. Fawaz, Mona, Ahmad Gharbieh, Mona Harb, and Dounia SalamĂŠ. Beirut: Lebanon. 2018. See page 62 of PDF.

  • Digital Matatus 2014-ongoing.

  • Prado-Núùez, Viviana. “Boundaries and Border Crossings: On Public Spanish in Washington Heights,” Conflict Urbanism: Language Justice.

  • Kim, Annette. “Mapping the Unmapped: Mixed Use Sidewalk Spaces,” Sidewalk City: Remapping Public Space in Ho Chi Min City. University of Chicago Press, 2015 pp. 100-169. Book available to view online via CLIO

  • House, Brian. "Stalking the Smart City." 2019

  • Folder. Italian Limes. 2014

  • Weckert,Simon. "Google Maps Hacks." 2020

  • Berardi, Francesca & Grga Basic. "We Can NYC." 2018

  • Troittin, Masson, Tallon. Usages: A subjective and Factual Analysis of Uses of Public Space. 2011

  • Svarre, Birgitte and Jan Gehl. How to Study Public Life. 2013. ebook via Columbia Library

  • MIT Sensable City Lab. "Trash Track." 2008

    • Making Data from Satellites

    Maps & Narrative

    New York Times Graphics Department map-forward stories:

    \ No newline at end of file diff --git a/assignments/print-layout/index.html b/assignments/print-layout/index.html index c4f5c5a..55e9a75 100644 --- a/assignments/print-layout/index.html +++ b/assignments/print-layout/index.html @@ -28,4 +28,4 @@

    Notice difference between the grid and the graticule. Based on the projections and coordinate reference systems module can you interpret these differences?

    Add additional map elements

    Use the left toolbar to add a north arrow and a scale bar. Adjust the style and settings for each using the Item Properties menu for each element.

    Exporting

    It is possible to export a print layout in multiple formats including as a PDF, as an image file (in multiple formats), or in SVG format.

    Export options can be accessed via Layout in the top menu bar or the export buttons in the Layout toolbar (circled below).

    layout toolbar -

    Notes on workflow

    It is possible to use the print layout tool within QGIS to design visually compelling maps. However, it is generally much faster to use the print layout to: define a map/paper size, set the spatial scale of your map(s), and add any orienting map elements (scale, legend) and then export to continue your work in a dedicated graphics editing software.

    Exporting maps with vector-based data in SVG format allows you to edit the representation of your data in Illustrator or another vector graphics software.

    Any raster-based data should be exported separately as in a high resolution image format which can be layered in your graphics editor of choice with any vector-based elements.

    Further resources

    Print-layout how-to:

    Map design more generally:

    Optional challenge: build and use an atlas of references

    1. Locate at least five to ten examples (the more the better!) of maps you find visually compelling, especially clear in their narrative, or otherwise enjoy looking at. Design a method for keeping track of these examples and their sources (for example: are.na channel, a well organized folder structure, or a Zotero library).

    2. In conjunction with the challenge for the Mapping Where module: choose 2-3 individual elements from within your reference atlas and apply them in the design of your Four Views of Trees in New York City.

    Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2023.

    \ No newline at end of file +

    Notes on workflow

    It is possible to use the print layout tool within QGIS to design visually compelling maps. However, it is generally much faster to use the print layout to: define a map/paper size, set the spatial scale of your map(s), and add any orienting map elements (scale, legend) and then export to continue your work in a dedicated graphics editing software.

    Exporting maps with vector-based data in SVG format allows you to edit the representation of your data in Illustrator or another vector graphics software.

    Any raster-based data should be exported separately as in a high resolution image format which can be layered in your graphics editor of choice with any vector-based elements.

    Further resources

    Print-layout how-to:

    Map design more generally:

    Optional challenge: build and use an atlas of references

    1. Locate at least five to ten examples (the more the better!) of maps you find visually compelling, especially clear in their narrative, or otherwise enjoy looking at. Design a method for keeping track of these examples and their sources (for example: are.na channel, a well organized folder structure, or a Zotero library).

    2. In conjunction with the challenge for the Mapping Where module: choose 2-3 individual elements from within your reference atlas and apply them in the design of your Four Views of Trees in New York City.

    Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2023.

    \ No newline at end of file diff --git a/assignments/python/index.html b/assignments/python/index.html index fdb22eb..029f358 100644 --- a/assignments/python/index.html +++ b/assignments/python/index.html @@ -1,4 +1,4 @@
    Mapping in Python - Pandas and Altair<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Mapping in Python - Pandas and Altair

    Under Construction

    Check back shortly!

    Under Construction Cat -

    \ No newline at end of file +

    \ No newline at end of file diff --git a/assignments/satellites/index.html b/assignments/satellites/index.html index 28b654f..a5d27d8 100644 --- a/assignments/satellites/index.html +++ b/assignments/satellites/index.html @@ -45,4 +45,4 @@

    The combination of bands 6-4-2 is particularly well suited for looking at agriculture -- vegetation appears as shades of green and urban areas or bare soil appear as brown/magenta.

    agriculture -

    Export false color composites

    To export a false color composite as a GeoTiff image (that freezes the given false color composite you've chosen) right click on the virtual band set in the layers menu. Select save as and choose rendered image as your output mode, and select a location and file name to save the image. This false color composite is now saved, you no longer have access to the raw data of each of the Landsat bands that originally comprised it but you can work with it as a base map or for other uses or bring it into a different program.

    If you'd like you can repeat the steps above on the second Landsat image bundle we downloaded to compare false color composites before and after Hurricane Maria to see the visible flooding.

    Take it further: supervised classification

    Beyond false color composites researchers use the spectral signatures for different features of the earths surface to classify land use and land cover and a variety of other phenomena. The USGS for example produces and maintains data on land use and land cover which it creates using Landsat and other remotely sensed data.

    You can create your specific land use classifications using something called supervised classification. This is beyond the required scope of this assignment but if you are interested in going further please follow the instructions for using the SCP for creating your own land use classification contained in this external tutorial produced by the Applied Remote Sensing Training Program at NASAhere

    Assignment

    Create a map using Landsat Satellite imagery that shows land use change over time. Download two (or more!) images captured by the Landsat 8 satellite of the same location on different dates, import them into QGIS and symbolize with a false color composite that helps to highlight a change in the landscape that is visible in your chosen location.

    Requirements

    Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2024.

    \ No newline at end of file +

    Export false color composites

    To export a false color composite as a GeoTiff image (that freezes the given false color composite you've chosen) right click on the virtual band set in the layers menu. Select save as and choose rendered image as your output mode, and select a location and file name to save the image. This false color composite is now saved, you no longer have access to the raw data of each of the Landsat bands that originally comprised it but you can work with it as a base map or for other uses or bring it into a different program.

    If you'd like you can repeat the steps above on the second Landsat image bundle we downloaded to compare false color composites before and after Hurricane Maria to see the visible flooding.

    Take it further: supervised classification

    Beyond false color composites researchers use the spectral signatures for different features of the earths surface to classify land use and land cover and a variety of other phenomena. The USGS for example produces and maintains data on land use and land cover which it creates using Landsat and other remotely sensed data.

    You can create your specific land use classifications using something called supervised classification. This is beyond the required scope of this assignment but if you are interested in going further please follow the instructions for using the SCP for creating your own land use classification contained in this external tutorial produced by the Applied Remote Sensing Training Program at NASAhere

    Assignment

    Create a map using Landsat Satellite imagery that shows land use change over time. Download two (or more!) images captured by the Landsat 8 satellite of the same location on different dates, import them into QGIS and symbolize with a false color composite that helps to highlight a change in the landscape that is visible in your chosen location.

    Requirements

    Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2024.

    \ No newline at end of file diff --git a/assignments/street-view/index.html b/assignments/street-view/index.html index c93abee..6db58c7 100644 --- a/assignments/street-view/index.html +++ b/assignments/street-view/index.html @@ -1,4 +1,4 @@
    Making Data from Street View<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Making Data from Street View

    Under Construction

    Check back shortly!

    Under Construction Cat -

    \ No newline at end of file +

    \ No newline at end of file diff --git a/assignments/syllabus/index.html b/assignments/syllabus/index.html index c058914..4a5ed22 100644 --- a/assignments/syllabus/index.html +++ b/assignments/syllabus/index.html @@ -14,4 +14,4 @@ Weekly map assignments will allow you to apply the skills acquired via tutorials and begin to experiment with creative applications of spatial methods. Five map assignments will be completed over the course of the six week course and as such are intended to be limited in scope; experimental; and geared towards learning and creative engagement rather than demonstrating advanced skills. Assignment descriptions and associated assessment rubrics will be distributed each week.

    For the final course session you will assemble your map assignments into a single document/portfolio/atlas.

    Software

    Geographic Information Systems is not a software. As such this course will not seek to provide students with proficiency in a particular software platform.
    Tutorial resources will be primarily provided for QGIS 3.16 (LTR). This is an open source software program for geographic analysis that runs on Windows, Mac, and Linux operating systems. All students will be expected to download and install QGIS 3.16 (LTR). Documentation for QGIS is available here, and a training manual with good basic tutorials is available here and an introduction to GIS methods using QGIS is available here. Information regarding other GIS softwares will be provided in course resources.
    -Knowledge of design and layout programs (Adobe Illustrator, and InDesign) may be useful to you but is not required.

    Course google drive folder

    All readings and course data will be available via Google Drive here.

    Academic Integrity

    The intellectual venture in which we are all engaged requires of faculty and students alike the highest level of personal and academic integrity. As members of an academic community, each one of us bears the responsibility to participate in scholarly discourse and research in a manner characterized by intellectual honesty and scholarly integrity.

    Scholarship, by its very nature, is an iterative process, with ideas and insights building one upon the other. Collaborative scholarship requires the study of other scholars' work, the free discussion of such work, and the explicit acknowledgement of those ideas in any work that inform our own. This exchange of ideas relies upon a mutual trust that sources, opinions, facts, and insights will be properly noted and carefully credited.

    In practical terms, this means that, as students, you must be responsible for the full citations of others' ideas in all of your research papers and projects; you must be scrupulously honest when taking your examinations; you must always submit your own work and not that of another student, scholar, or internet agent.

    Any breach of this intellectual responsibility is a breach of faith with the rest of our academic community. It undermines our shared intellectual culture, and it cannot be tolerated. Students failing to meet these responsibilities should anticipate being asked to leave Columbia.

    For more information on academic integrity at Columbia, students may refer to the Columbia University Undergraduate Guide to Academic Integrity as well as the GSAPP Honor System and Plagiarism Policy.

    Community & Accessibility

    This is a discussion and collaborative-critique based course. All students and the instructor must be respectful of others in the classroom. If you ever feel that the classroom environment is discouraging your participation or is problematic in anyway please contact me.

    GSAPP is committed to full inclusion of all students. Students needing any form of accommodation due to a disability should check in with Disability Services (DS) and speak with me at the beginning of the semester to provide the accommodations letter from DS. Alternatively you may ask your advisor to consult with me regarding your accommodations.

    Email Policy

    Students should not rely on or expect an immediate response to questions sent via email to the instructor. Please begin assignments with enough time to attend office hours or ask a question several days before the assignment is due.

    Learning how to troubleshoot technical issues and locate relevant resources is crucial in your long-term success with GIS methods. With this in mind emails with technical questions must at a minimum contain the following:

    Bibliography

    Baics, Gergely, and Leah Meisterlin. “Zoning Before Zoning: Land Use and Density in Mid-Nineteenth-Century New York City.” Annals of the American Association of Geographers 106, no. 5 (September 2, 2016): 1152–75.

    Battle-Baptiste, Whitney, and Britt Rusert, eds. W.E.B. Du Bois’s Data Portraits: Visualizing Black America: The Color Line at the Turn of the Twentieth Century. First edition. [Amherst, Massachusetts] : Hudson, NY: The W.E.B. Du Bois Center at the University of Massachusetts Amherst ; Princeton Architectural Press, 2018.

    Corner, James. “The Agency of Mapping.” In Landscape Imagination: Collected Essays of James Corner 1990-2010. New York, UNITED STATES: Princeton Architectural Press, 2014.

    Couclelis, Helen. “People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS.” In Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, edited by A. U. Frank, I. Campari, and U. Formentini, 639:65–77. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.

    Desimini, Jill, and Charles Waldheim. “Introduction: Projecting the Landscape Imaginary.” In Cartographic Grounds : Projecting the Landscape Imaginary. New York: Princeton Architectural Press, 2016.

    Ferrari, Marco, Elisa Pasqual, and Andrea Bagnato. A Moving Border: Alpine Cartographies of Climate Change. New York, NY: Columbia Books on Architecture and the City, 2019.

    House, Brian. "Stalking the Smart City." Urban Omnibus 2019

    Kurgan, Laura. “Mapping Considered as a Problem of Theory and Practice.” In Close up at a Distance : Mapping, Technology, and Politics, 9–18. Brooklyn, NY: Zone Books, 2013.

    MĂśrtenbĂśck, Peter, and Helge Mooshammer, eds. Informal Market Worlds: The Architecture of Economic Pressure. Rotterdam: NAI010 Publishers, 2015.

    Rankin, William. "Introduction Territory and the Mapping Sciences" in After The Map: Cartography, Navigation, and the Transformation of Territory in the Twentieth Century. Chicago: University of Chicago Press. 2016.

    Williams, Sarah, Jacqueline Klopp, Daniel Orwa, Peter Waiganjo, and Adam White. “Digital Matatus: Using Mobile Technology to Visualize Informality.” ACSA Annual Meeting Proceedings, The Expanding Periphery and the Migrating Center, 2015, 9.

    Wood, Dennis. "Everything Sings: Maps for a Narrative Atlas." In Places Journal. 2011.

    Woods, Clyde Adrian., and Katherine. McKittrick. “No One Knows the Mysteries at the Bottom of the Ocean.” In Black Geographies and the Politics of Place. Toronto, Ont. : Cambridge, Mass.: Between the Lines ; South End Press, 2007.

    \ No newline at end of file +Knowledge of design and layout programs (Adobe Illustrator, and InDesign) may be useful to you but is not required.

    Course google drive folder

    All readings and course data will be available via Google Drive here.

    Academic Integrity

    The intellectual venture in which we are all engaged requires of faculty and students alike the highest level of personal and academic integrity. As members of an academic community, each one of us bears the responsibility to participate in scholarly discourse and research in a manner characterized by intellectual honesty and scholarly integrity.

    Scholarship, by its very nature, is an iterative process, with ideas and insights building one upon the other. Collaborative scholarship requires the study of other scholars' work, the free discussion of such work, and the explicit acknowledgement of those ideas in any work that inform our own. This exchange of ideas relies upon a mutual trust that sources, opinions, facts, and insights will be properly noted and carefully credited.

    In practical terms, this means that, as students, you must be responsible for the full citations of others' ideas in all of your research papers and projects; you must be scrupulously honest when taking your examinations; you must always submit your own work and not that of another student, scholar, or internet agent.

    Any breach of this intellectual responsibility is a breach of faith with the rest of our academic community. It undermines our shared intellectual culture, and it cannot be tolerated. Students failing to meet these responsibilities should anticipate being asked to leave Columbia.

    For more information on academic integrity at Columbia, students may refer to the Columbia University Undergraduate Guide to Academic Integrity as well as the GSAPP Honor System and Plagiarism Policy.

    Community & Accessibility

    This is a discussion and collaborative-critique based course. All students and the instructor must be respectful of others in the classroom. If you ever feel that the classroom environment is discouraging your participation or is problematic in anyway please contact me.

    GSAPP is committed to full inclusion of all students. Students needing any form of accommodation due to a disability should check in with Disability Services (DS) and speak with me at the beginning of the semester to provide the accommodations letter from DS. Alternatively you may ask your advisor to consult with me regarding your accommodations.

    Email Policy

    Students should not rely on or expect an immediate response to questions sent via email to the instructor. Please begin assignments with enough time to attend office hours or ask a question several days before the assignment is due.

    Learning how to troubleshoot technical issues and locate relevant resources is crucial in your long-term success with GIS methods. With this in mind emails with technical questions must at a minimum contain the following:

    Bibliography

    Baics, Gergely, and Leah Meisterlin. “Zoning Before Zoning: Land Use and Density in Mid-Nineteenth-Century New York City.” Annals of the American Association of Geographers 106, no. 5 (September 2, 2016): 1152–75.

    Battle-Baptiste, Whitney, and Britt Rusert, eds. W.E.B. Du Bois’s Data Portraits: Visualizing Black America: The Color Line at the Turn of the Twentieth Century. First edition. [Amherst, Massachusetts] : Hudson, NY: The W.E.B. Du Bois Center at the University of Massachusetts Amherst ; Princeton Architectural Press, 2018.

    Corner, James. “The Agency of Mapping.” In Landscape Imagination: Collected Essays of James Corner 1990-2010. New York, UNITED STATES: Princeton Architectural Press, 2014.

    Couclelis, Helen. “People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS.” In Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, edited by A. U. Frank, I. Campari, and U. Formentini, 639:65–77. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.

    Desimini, Jill, and Charles Waldheim. “Introduction: Projecting the Landscape Imaginary.” In Cartographic Grounds : Projecting the Landscape Imaginary. New York: Princeton Architectural Press, 2016.

    Ferrari, Marco, Elisa Pasqual, and Andrea Bagnato. A Moving Border: Alpine Cartographies of Climate Change. New York, NY: Columbia Books on Architecture and the City, 2019.

    House, Brian. "Stalking the Smart City." Urban Omnibus 2019

    Kurgan, Laura. “Mapping Considered as a Problem of Theory and Practice.” In Close up at a Distance : Mapping, Technology, and Politics, 9–18. Brooklyn, NY: Zone Books, 2013.

    MĂśrtenbĂśck, Peter, and Helge Mooshammer, eds. Informal Market Worlds: The Architecture of Economic Pressure. Rotterdam: NAI010 Publishers, 2015.

    Rankin, William. "Introduction Territory and the Mapping Sciences" in After The Map: Cartography, Navigation, and the Transformation of Territory in the Twentieth Century. Chicago: University of Chicago Press. 2016.

    Williams, Sarah, Jacqueline Klopp, Daniel Orwa, Peter Waiganjo, and Adam White. “Digital Matatus: Using Mobile Technology to Visualize Informality.” ACSA Annual Meeting Proceedings, The Expanding Periphery and the Migrating Center, 2015, 9.

    Wood, Dennis. "Everything Sings: Maps for a Narrative Atlas." In Places Journal. 2011.

    Woods, Clyde Adrian., and Katherine. McKittrick. “No One Knows the Mysteries at the Bottom of the Ocean.” In Black Geographies and the Politics of Place. Toronto, Ont. : Cambridge, Mass.: Between the Lines ; South End Press, 2007.

    \ No newline at end of file diff --git a/assignments/webmap-1/index.html b/assignments/webmap-1/index.html index 11828bb..f6a27f8 100644 --- a/assignments/webmap-1/index.html +++ b/assignments/webmap-1/index.html @@ -1,5 +1,14 @@ -
    Webmaps Part 1 - Making a Basic Webmap<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Webmaps Part 1 - Making a Basic Webmap

    Step 1: Setting up Github and Mapbox

    This tutorial is an introduction to making web maps using Mapbox GL JS. This is a recent javascript library that uses WebGL to render interactive maps from vector tiles (as opposed to raster tiles) created with Mapbox Studio. Data for these maps comes from OpenStreetMap.

    This tutorial will introduce you to the basic setup and what it feels like to develop for a web browser, how to add datasets, and then how to make those datasets interactive. This will be a very different approach than your experience thus far in QGIS, and it is much more prone to error given the number of new concepts and syntaxes involved. Brackets, commas, quotes, and colons... stay with it—it's ok if you don't understand what everything is doing at first.

    Setup Prerequisites

    To publish the web map you will create in this tutorial we will use GitHub. This website provides hosting for software development (a website is a kind of software...) version control using Git. Git is a system for tracking changes in software development. (You can think of it like a very sophisticated version of Microsoft Word's track changes function, and in fact you can use it in this way for writing.) This tutorial will walk you through how to use Git with GitHub to track changes you make to your web map. However, it does not cover the mechanics of Git or GitHub.

    Using GitHub will allow us to easily host our web maps online, however it requires a bit of set up.

    At this stage, you should:

    1. create a GitHub account if you don't already have one
    2. create a new repository on GitHub
      • from the Your Profile page in your newly created github account select Repositories
      • select the green New button in the top right of the page
      • name this repository webmap_1
      • select Initialize this repository with a README
      • select Create Repository

    repository

    1. set up your repository as a GitHub page (a project site from scratch)
    • from the new repository you've just created select Settings
    • scroll down to GitHub Pages and select Master Branch as the Source

    1. install Git.

      • download and install the git version for your operating system. Follow the instructions of the installer.
      • Note that if you're using a Mac, this will just install the Git command-line program, which you can access through the Terminal app. On Windows, you'll get the command-line Git plus a new Terminal-like app called Git Bash.

    2. use Git in the Terminal or Git Bash to clone the repository you created on github.

      • On Mac open your terminal (Applications > Utilities > Terminal.app); on PC open Git Bash (Programs > Git > Git Bash, or search for it in the start menu).
      • and learned how to navigate;
      • navigate to the folder where you would like to create your web map.
      • set up git, type the following in your terminal/git bash:
        git config --global user.name 'Your Name'
        git config --global user.email 'email@wherever.com' (this email should match the one you used to set up Github)
      • cloned a local copy of your repository to your computer using git.
        • by typing: git clone https://github.com/yourusername/webmap_1

    Create empty files that will become your web map and commit your first changes, and push them to GitHub

    1. open your text editor (VS Code is a good one) and create three empty files titled index.html, style.css, and map.js. Save them in your webmap_1 folder. Your webmap_1 folder should look like this:

    initial folder

    1. add the files you just created to your repository, to do this in your Terminal/Git Bash type:
    • git add index.html style.css map.js
    1. "commit" and "push" your changes:
      • in Git Bash or Terminal type:
        • git commit -m 'initial import' -and then
        • git push
    2. view the result on your online github repository (the url should be github.com/yourusername/webmap_1) github page (the url should be yourgithubusername.github.io/webmap_1 but you can also find this in the settings of the repository you created on github). You should see something like this:

    initial webpage

    A web page

    HTML is the structure of a web page, css is the style, and javascript is the functionality or the interaction. Each of these are contained in text files with the appropriate extension—and they each have entirely different syntax. When you are creating a website you are creating a series of linked files that your browser downloads and uses to construct the display. These files can also come from remote resources, such as in the case of javascript libraries or map tiles.

    initial folder

    HTML is defined by a series of tags, which are either in the form <tag /> or <tag></tag>. A comment in HTML, which is simply a non-functional bit of text meant to explicate the code, is in the form <!-- comment -->. Reproduce the following in your index.html file using your text editor (you can copy and paste).

    <!DOCTYPE html> <!-- let the browser know this is an HTML file -->
+
    Webmaps Part 1 - Making a Basic Webmap<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024
    Webmaps Part 1 - Making a Basic Webmap
    Step 1: Setting up Github and Mapbox
    This tutorial is an introduction to making web maps using Mapbox GL JS. This is a recent javascript library that uses WebGL to render interactive maps from vector tiles (as opposed to raster tiles) created with Mapbox Studio. Data for these maps comes from OpenStreetMap.
    This tutorial will introduce you to the basic setup and what it feels like to develop for a web browser, how to add datasets, and then how to make those datasets interactive. This will be a very different approach than your experience thus far in QGIS, and it is much more prone to error given the number of new concepts and syntaxes involved. Brackets, commas, quotes, and colons... stay with it—it's ok if you don't understand what everything is doing at first.
    Setup Prerequisites
    To publish the web map you will create in this tutorial we will use GitHub. This website provides hosting for software development (a website is a kind of software...) version control using Git. Git is a system for tracking changes in software development. (You can think of it like a very sophisticated version of Microsoft Word's track changes function, and in fact you can use it in this way for writing.) This tutorial will walk you through how to use Git with GitHub to track changes you make to your web map. However, it does not cover the mechanics of Git or GitHub.
    Using GitHub will allow us to easily host our web maps online, however it requires a bit of set up.
    At this stage, you should:
    1. create a GitHub account if you don't already have one
    2. create a new repository on GitHub
      • from the Your Profile page in your newly created github account select Repositories
      • select the green New button in the top right of the page
      • name this repository webmap_1
      • select Initialize this repository with a README
      • select Create Repository  
    
+      
+  repository
+        
    1. set up your repository as a GitHub page (a project site from scratch)
    • from the new repository you've just created select Settings
    • scroll down to GitHub Pages and select Master Branch as the Source
    1. install Git.
      • download and install the git version for your operating system. Follow the instructions of the installer.
      • Note that if you're using a Mac, this will just install the Git command-line program, which you can access through the Terminal app. On Windows, you'll get the command-line Git plus a new Terminal-like app called Git Bash.
    2. use Git in the Terminal or Git Bash to clone the repository you created on github.
      • On Mac open your terminal (Applications > Utilities > Terminal.app); on PC open Git Bash (Programs > Git > Git Bash, or search for it in the start menu).
      • and learned how to navigate;
      • navigate to the folder where you would like to create your web map.
      • set up git, type the following in your terminal/git bash:
        git config --global user.name 'Your Name'
        git config --global user.email 'email@wherever.com' (this email should match the one you used to set up Github)
      • cloned a local copy of your repository to your computer using git.
        • by typing: git clone https://github.com/yourusername/webmap_1
    Create empty files that will become your web map and commit your first changes, and push them to GitHub
    1. open your text editor (VS Code is a good one) and create three empty files titled index.html, style.css, and map.js. Save them in your webmap_1 folder. Your webmap_1 folder should look like this:  
    
+      
+  initial folder
+    
    1. add the files you just created to your repository, to do this in your Terminal/Git Bash type:
    • git add index.html style.css map.js
    1. "commit" and "push" your changes:
      • in Git Bash or Terminal type:
        • git commit -m 'initial import'
+and then
        • git push  
    2. view the result on your online github repository (the url should be github.com/yourusername/webmap_1) github page (the url should be yourgithubusername.github.io/webmap_1 but you can also find this in the settings of the repository you created on github). You should see something like this:  
    initial webpage
    A web page
    HTML is the structure of a web page, css is the style, and javascript is the functionality or the interaction. Each of these are contained in text files with the appropriate extension—and they each have entirely different syntax. When you are creating a website you are creating a series of linked files that your browser downloads and uses to construct the display. These files can also come from remote resources, such as in the case of javascript libraries or map tiles.
    
+      
+  initial folder
+    
    HTML is defined by a series of tags, which are either in the form <tag /> or <tag></tag>. A comment in HTML, which is simply a non-functional bit of text meant to explicate the code, is in the form <!-- comment -->. Reproduce the following in your index.html file using your text editor (you can copy and paste).
    <!DOCTYPE html> <!-- let the browser know this is an HTML file -->
 
 <html>      <!-- everything else is enclosed in html tags -->
 <head>      <!-- the head is for metadata prior to building the page -->
@@ -73,7 +82,13 @@
 
    Unlike HTML and css, javascript is a programming language. HTML and css give important information to the browser, but they are like blueprints, whereas javascript is more like a recipe. Javascript will be our focus for the web mapping exercises. We are going to stop short of covering all general programming fundamentals, but you will learn how the various elements function and how to modify code to suit your purposes.
    console.log is a debug statement—it lets you write to the javascript console to keep track of what you're doing, which is a very helpful tool.
    At this point, we will create a local webserver so that we can view the webpage we just created.
    Create a local development server using Python:
    on Mac:
    • Open Terminal, then test to see what version of Python your computer has installed by typing python -V. Hit enter.
    • note whether your computer has python 2 or python 3 installed
    on Windows:
    • Open Command Prompt, then test to see what version of Python your computer has installed by typing python -V. Hit enter.
    If python is installed on your computer it will tell you which version is installed. Make a note of whether it is Python 2 or python 3.
    If your command prompt/terminal instead says something like 'python' is not recognized as an internal or external command,
 operable program or batch file. then you do not have Python installed and you will need to download it. Follow these instructions to download Python if it is not already installed.
    Once you have successfully confirmed that you have python installed, we will use it to create a local server to view our website from.
    Navigate to your webmap_1 folder from inside your Terminal or Command Prompt. To do this you will type cd followed by the path to your webmap folder. In my case this was:
    $ cd Documents/webmap_1
 
    Once you are inside your webmap_1 folder, type the appropriate command for your version of Python in Command Prompt or Terminal:
    Python 3: python -m http.server
-Python 2: python -m SimpleHTTPServer
    After you hit enter your Terminal/Command Prompt should say something like: Serving HTTP on 0.0.0.0 port 8000 ...
    Open your browser and navigate to: http://localhost:8000
    On the page itself you should see ... nothing.
    However, in your browser open View > Developer > JavaScript Console . You should see "Hello, world!" printed. This means that your map.js file has been successfully loaded and you are ready to start programming. If you see any error messages, check the format of your HTML and that the script tag which loads the Mapbox javascript are formatted correctly.
    Hello world
    Basic Mapbox GL JavaScript
    One more setup step: register a Mapbox account. Then find your "Default public token" under the "Access Tokens" tab, which you will use in your code.
    Default Token
    To begin, replace the debug statement in your map.js file with the following (minus the comments, which in js are designated by a leading //):
    'use strict'        // let the browser know we're serious
+Python 2: python -m SimpleHTTPServer
    After you hit enter your Terminal/Command Prompt should say something like: Serving HTTP on 0.0.0.0 port 8000 ...
    Open your browser and navigate to: http://localhost:8000
    On the page itself you should see ... nothing.
    However, in your browser open View > Developer > JavaScript Console . You should see "Hello, world!" printed. This means that your map.js file has been successfully loaded and you are ready to start programming. If you see any error messages, check the format of your HTML and that the script tag which loads the Mapbox javascript are formatted correctly.
    
+      
+  Hello world
+    
    Basic Mapbox GL JavaScript
    One more setup step: register a Mapbox account. Then find your "Default public token" under the "Access Tokens" tab, which you will use in your code.
    
+      
+  Default Token
+    
    To begin, replace the debug statement in your map.js file with the following (minus the comments, which in js are designated by a leading //):
    'use strict'        // let the browser know we're serious
 
 // debug statement letting us know the file is loaded
 console.log('Loaded map.js')
@@ -86,7 +101,10 @@
     center: [-73.93324, 40.80877],
     zoom: 14
 });
-
    Now we're cooking with gas. If you reload, you should see a map of Harlem (Web Mercator Projection). Have some fun zooming around.
    World map
    If you don't see a map, make sure you've followed the syntax exactly, and check for errors in your console. When programming, one misplaced character can break the whole thing (watch your commas and brackets!). The block of code we just added creates a new variable map which is a new instance of the Map object provided by the Mapbox javascript file we loaded in our HTML. "map" is actually an arbitrary name—you can choose whatever you want. A Map object has several attributes that we can change: container lets it know the HTML element that will become the map (in this case also called map), style defines a data source for the base map, and center and zoom define the starting coordinates for the map. Change these for map and see what happens.
    Other options for style:
    style: 'mapbox://styles/mapbox/basic-v9',
+
    Now we're cooking with gas. If you reload, you should see a map of Harlem (Web Mercator Projection). Have some fun zooming around.
    
+      
+  World map
+    
    If you don't see a map, make sure you've followed the syntax exactly, and check for errors in your console. When programming, one misplaced character can break the whole thing (watch your commas and brackets!). The block of code we just added creates a new variable map which is a new instance of the Map object provided by the Mapbox javascript file we loaded in our HTML. "map" is actually an arbitrary name—you can choose whatever you want. A Map object has several attributes that we can change: container lets it know the HTML element that will become the map (in this case also called map), style defines a data source for the base map, and center and zoom define the starting coordinates for the map. Change these for map and see what happens.
    Other options for style:
    style: 'mapbox://styles/mapbox/basic-v9',
 style: 'mapbox://styles/mapbox/outdoors-v10',
 style: 'mapbox://styles/mapbox/light-v9',
 style: 'mapbox://styles/mapbox/dark-v9',
@@ -116,7 +134,10 @@
     }
   })
 });
-
    A few things to note here:
    • map.on() is a method which listens for a specific type of event, in this case when the page loads (defined because we specified 'load'). This method waits for whatever we have defined to happen and then executes the 'function' we define. Here the function adds our datasource, and creates a new layer that shows our data.
    • with map.addSource we have defined a new data source and have given it the name 'blocks_data'
    • the 'data' resides at the location we just defined with our variable 'blocks_url'
    • with map.addLayer we are defining a new layer that will get added to our map. We have defined the 'id' to be 'blocks'. The 'type' of the layer is 'fill'. The 'source' is the 'blocks_data' source we defined with add.Source above. And finally 'paint' lets us define how our polygons are drawn.
    Save your map.js file and reload your browser. You should see the blocks!
    blocks
    Adding a geojson dataset of points to your map
    Next we will add a point layer.
    Save the geojson file of points that you plan to use in the data folder you have just created.
    The instructions below use the NYC street trees dataset that you used in tutorial 1 as an example. It is available in the class data folder.
    We will repeat the steps above that we used for the polygons:
    • load the dataset into your map object
    • create a new layer containing your geojson data and style it as you would like.
    First in your map.js file create a new variable containing the url of your point dataset). Place this just below the variable you created for your points dataset.
    var trees_url = "./data/2015_Street_Tree_Census_subset_um.geojson"
+
    A few things to note here:
    • map.on() is a method which listens for a specific type of event, in this case when the page loads (defined because we specified 'load'). This method waits for whatever we have defined to happen and then executes the 'function' we define. Here the function adds our datasource, and creates a new layer that shows our data.
    • with map.addSource we have defined a new data source and have given it the name 'blocks_data'
    • the 'data' resides at the location we just defined with our variable 'blocks_url'
    • with map.addLayer we are defining a new layer that will get added to our map. We have defined the 'id' to be 'blocks'. The 'type' of the layer is 'fill'. The 'source' is the 'blocks_data' source we defined with add.Source above. And finally 'paint' lets us define how our polygons are drawn.
    Save your map.js file and reload your browser. You should see the blocks!
    
+      
+  blocks
+    
    Adding a geojson dataset of points to your map
    Next we will add a point layer.
    Save the geojson file of points that you plan to use in the data folder you have just created.
    The instructions below use the NYC street trees dataset that you used in tutorial 1 as an example. It is available in the class data folder.
    We will repeat the steps above that we used for the polygons:
    • load the dataset into your map object
    • create a new layer containing your geojson data and style it as you would like.
    First in your map.js file create a new variable containing the url of your point dataset). Place this just below the variable you created for your points dataset.
    var trees_url = "./data/2015_Street_Tree_Census_subset_um.geojson"
 
    Next we will use the .addSource and .addLayer methods to add these points to our map.
    Inside the map.on('load') function that you defined above include the code snippet below. (Pay careful attention to making sure that you maintain the pairs of brackets and parentheses around each method when you do this).
      // define a 'source' for your point dataset
     map.addSource('trees_data',{
       'type':'geojson',
@@ -134,7 +155,10 @@
       },
     })
 
-
    Save your map.js file and reload your browser window. You should see the tree dataset you just added to your map!
    Trees
    Data - Driven Styling
    Now that we have our data on the map, we will want to style it using the data itself, similarly to how we did in QGIS.
    To do this, it may be useful to pull up the QGIS project from the first tutorial so we can reference the variables we styled from, and what the buckets were in each.
    Styling the block layers
    In the original tutorial, we joined the street trees dataset to the block groups, and then styled the fill of the blockgroups by the average diameter of tree on that block. 
    To do this in Mapbox GL JS, we fill just edit the fill-color property to have multiple steps, with colors associated for each. Copy and paste this over your entire block_data source + layer:
     // add a new layer with your polygons
+
    Save your map.js file and reload your browser window. You should see the tree dataset you just added to your map!
    
+      
+  Trees
+    
    Data - Driven Styling
    Now that we have our data on the map, we will want to style it using the data itself, similarly to how we did in QGIS.
    To do this, it may be useful to pull up the QGIS project from the first tutorial so we can reference the variables we styled from, and what the buckets were in each.
    Styling the block layers
    In the original tutorial, we joined the street trees dataset to the block groups, and then styled the fill of the blockgroups by the average diameter of tree on that block. 
    To do this in Mapbox GL JS, we fill just edit the fill-color property to have multiple steps, with colors associated for each. Copy and paste this over your entire block_data source + layer:
     // add a new layer with your polygons
   map.addLayer({
     'id':'blocks',
     'type':'fill',
@@ -156,7 +180,10 @@
       'fill-opacity': 0.5
     }
   })
-
      There are a couple of things going on here:
    • Instead of giving a single value for fill-color, we are styling across a property, which in this case is 'avg_diamet'. If nothing is showing for you, first check that your variable is named the same thing.
    • We get that variable with ['step', ['get', 'avg_diamet'], followed by our values. The first value, #ffffff is a fallback for 0, and the rest are the avg_diamet values I copied over from QGIS, followed by their respective color.
    • While I could have copied over colors from QGIS, I used ColorBrewer2 for map styles. 
    • The three lines that start with ['case perform the function of sorting out null values from the dataset, and making them white. Without this Mapbox would default to making them black. 
    • Lastly, there are many ways to do this correctly, this is just one of them. Don't get caught up too much in the specific syntax of this example and don't worry if you find something different online, both will probably work.
    Save your map, refresh if you need to, and you should see this:
    BlockDataStyle
    Styling the tree layers.
    Next, we will style the tree layers.
    This will be a bit more straight forward, because we are styling a numeric property, circle-radius', with another numeric property from our dataset tree_dbh`.
     Copy and paste this over your entire trees_data source + layer:
       // define a 'source' for your point dataset
+
      There are a couple of things going on here:
    • Instead of giving a single value for fill-color, we are styling across a property, which in this case is 'avg_diamet'. If nothing is showing for you, first check that your variable is named the same thing.
    • We get that variable with ['step', ['get', 'avg_diamet'], followed by our values. The first value, #ffffff is a fallback for 0, and the rest are the avg_diamet values I copied over from QGIS, followed by their respective color.
    • While I could have copied over colors from QGIS, I used ColorBrewer2 for map styles. 
    • The three lines that start with ['case perform the function of sorting out null values from the dataset, and making them white. Without this Mapbox would default to making them black. 
    • Lastly, there are many ways to do this correctly, this is just one of them. Don't get caught up too much in the specific syntax of this example and don't worry if you find something different online, both will probably work.
    Save your map, refresh if you need to, and you should see this:
    
+      
+  BlockDataStyle
+    
    Styling the tree layers.
    Next, we will style the tree layers.
    This will be a bit more straight forward, because we are styling a numeric property, circle-radius', with another numeric property from our dataset tree_dbh`.
     Copy and paste this over your entire trees_data source + layer:
       // define a 'source' for your point dataset
     map.addSource('trees_data',{
       'type':'geojson',
       'data': trees_url
@@ -172,7 +199,10 @@
         'circle-radius': ['/', ['get', 'tree_dbh'], 5],
       },
     })
-
    Here, all of the styling takes place in 'circle-radius': ['/', ['get', 'tree_dbh'], 5],. Originally I had 'circle-radius': ['get', 'tree_dbh'], which made the mapbox radius unit exactly the tree diameter in feet contained in the tree_dbh variable. This was comically large, so I the code around it divided that value by 5.
    After you'ved added that, your map should look like this. 
    TreeDataStyle
    Looks like I have a giant tree on 117th street, this could be the result of either an error in the original datset, an error in how we processed it, or a giant tree on 117th street that I haven't noticed before. You could fix this by either editing it in the dataset itself, or if it was important for you to maintain a direct proportion to the actual tree diameter, you could change the styling of circle-radius to buckets instead of a linear scale (like we did in QGIS.)
    Styling alternatives
    If you find all of that styling tedious, you're not alone! Luckily Mapbox also has a GUI that allows you to style a map called Mapbox Studio. There, you can style a layer, and then add it to your map.js using it's tilesetID.
+
    Here, all of the styling takes place in 'circle-radius': ['/', ['get', 'tree_dbh'], 5],. Originally I had 'circle-radius': ['get', 'tree_dbh'], which made the mapbox radius unit exactly the tree diameter in feet contained in the tree_dbh variable. This was comically large, so I the code around it divided that value by 5.
    After you'ved added that, your map should look like this. 
    
+      
+  TreeDataStyle
+    
    Looks like I have a giant tree on 117th street, this could be the result of either an error in the original datset, an error in how we processed it, or a giant tree on 117th street that I haven't noticed before. You could fix this by either editing it in the dataset itself, or if it was important for you to maintain a direct proportion to the actual tree diameter, you could change the styling of circle-radius to buckets instead of a linear scale (like we did in QGIS.)
    Styling alternatives
    If you find all of that styling tedious, you're not alone! Luckily Mapbox also has a GUI that allows you to style a map called Mapbox Studio. There, you can style a layer, and then add it to your map.js using it's tilesetID.
 This is sometimes quicker for simple maps with precise styling, but you lose some potential for interactiviy in the procress. Here is the Mapbox Documentation for that workflow.
    Pushing to Github
    Once you have created an map that you like lets publish it online by pushing our changes to GitHub. Open your terminal or command prompt. Make sure you are within the folder where you created your web map (in our case webmap_1).  
    • Type git add -A to 'track' all of the changes you made.   
    • To commit your changes type git commit -m "some note about the changes you made" and replace the information within the quotes with some note to yourself about the changes you made.  
    • Then push your changes to the server by typing git push.
    Visit your repository website at yourgithubusername.github.io/webmap_1 to check that all changes were pushed correctly.
    Adding Interactivity
    After completing the above portions of this tutorial you now should have a functioning web map. Congrats! With the help of some Javascript, we managed to get something similar to our QGIS static map onto the web by defining its content (raster and vector data) and style (symbology). Here we'll start to look at where Javascript really shines: defining behavior, interactivity and change over time in your web map.
    About Events
    One of the simplest forms of interactivity is to have something happen when you click an element on the page, or in this case, our map. Javascript uses the concept of events to define this kind of behavior. This is a two-part approach: you first need to designate an element on your page as an event listener, then provide instructions in the form of an event handler that say what to do when the event takes place. A basic example would look something like this:
    // listen for 'onclick' events from 'handler-element'
 document.getElementById('handler-element').onclick = handleEvent;
 
@@ -203,7 +233,10 @@
 map.on('mouseleave', 'trees', function() {
   map.getCanvas().style.cursor = '';
 });
-
    Now you should see a popup appear with the tree's species name whenever you click a tree on the map. Clicking another tree or clicking the 'x' on the popup should make the last popup disappear. Not bad for a couple lines of code. Notice that we can also control the appearance of the cursor to give the user a hint that some kind of interactivity is now built into the tree symbols. Thanks to the features in the library, we're able to do a surprising amount of work with just a couple of lines of code.
    Street trees with popup tags
    Other Mapbox GL Examples
    Now that we've seen the basics of how to define map behavior using functions in the Mapbox GL library, you can experiment with some of the many examples they provide and try to adapt them to your map. Here are a few suggestions:
    • You can adjust the opacity of a raster layer using the value property of a targeted slider to as an input to the map's setPaintProperty() function. Note that this example uses the plain Javascript event pattern outlined above since the behavior is for a single element outside of the map itself.
    • Or you can animate features on the map using two custom functions - one that defines position as a function of time and another which steps through frames of an animation, updating the position of an element with Map.getSource(...).setData(...) each time it runs.
    • Or animate the 'camera' with the flyTo() function which gradually changes the center and zoom properties of the Map over time.
    Using API Documentation
    As you start thinking about how you might want to develop your map further, you'll want to know more about what else you can do with MapboxGL. At a certain point, working through examples and tutorials will cease to be useful and you'll want a more direct way to explore what's available. Fortunately, every legitimate Javascript library comes with a catalog in the form of its API documentation. Sometimes you'll see this referred to as "the docs" for short, and it's always going to be the most detailed, comprehensive, up-to-date, and accurate source for information on the contents of a given library and how it's meant to be used.
    All of the objects, functions and properties in the library will be listed and described, often with examples, in a single online resource. So for example, if you wanted more details on how the flyTo function in the last example, you'd find it here under the instance members of the Map object. Not all API docs will do this, but Mapbox includes both links to related examples and short code snippets, which makes it even easier to learn. Feel free to explore this at your own pace and try adding some additional functionality to your map if you have the time and interest.
    Full Code
    Here is what your full map.js should look like in the end, and here is a live demo of it as well. Don't forget to put in your mapbox token!
    'use strict'        // let the browser know we're serious
+
    Now you should see a popup appear with the tree's species name whenever you click a tree on the map. Clicking another tree or clicking the 'x' on the popup should make the last popup disappear. Not bad for a couple lines of code. Notice that we can also control the appearance of the cursor to give the user a hint that some kind of interactivity is now built into the tree symbols. Thanks to the features in the library, we're able to do a surprising amount of work with just a couple of lines of code.
    
+      
+  Street trees with popup tags
+    
    Other Mapbox GL Examples
    Now that we've seen the basics of how to define map behavior using functions in the Mapbox GL library, you can experiment with some of the many examples they provide and try to adapt them to your map. Here are a few suggestions:
    • You can adjust the opacity of a raster layer using the value property of a targeted slider to as an input to the map's setPaintProperty() function. Note that this example uses the plain Javascript event pattern outlined above since the behavior is for a single element outside of the map itself.
    • Or you can animate features on the map using two custom functions - one that defines position as a function of time and another which steps through frames of an animation, updating the position of an element with Map.getSource(...).setData(...) each time it runs.
    • Or animate the 'camera' with the flyTo() function which gradually changes the center and zoom properties of the Map over time.
    Using API Documentation
    As you start thinking about how you might want to develop your map further, you'll want to know more about what else you can do with MapboxGL. At a certain point, working through examples and tutorials will cease to be useful and you'll want a more direct way to explore what's available. Fortunately, every legitimate Javascript library comes with a catalog in the form of its API documentation. Sometimes you'll see this referred to as "the docs" for short, and it's always going to be the most detailed, comprehensive, up-to-date, and accurate source for information on the contents of a given library and how it's meant to be used.
    All of the objects, functions and properties in the library will be listed and described, often with examples, in a single online resource. So for example, if you wanted more details on how the flyTo function in the last example, you'd find it here under the instance members of the Map object. Not all API docs will do this, but Mapbox includes both links to related examples and short code snippets, which makes it even easier to learn. Feel free to explore this at your own pace and try adding some additional functionality to your map if you have the time and interest.
    Full Code
    Here is what your full map.js should look like in the end, and here is a live demo of it as well. Don't forget to put in your mapbox token!
    'use strict'        // let the browser know we're serious
 
 // debug statement letting us know the file is loaded
 console.log('Loaded map.js')
@@ -293,4 +326,4 @@
   });
   
 
    Tutorial by Adam Vosburgh, Spring 2022.
    
-Adapted from tutorial written by Dare Brawley, Spring 2020 & by Brian House for Mapping for Architecture, Urbanism, and the Humanities, Fall 2018.
    
\ No newline at end of file
+Adapted from tutorial written by Dare Brawley, Spring 2020 & by Brian House for Mapping for Architecture, Urbanism, and the Humanities, Fall 2018.
    \ No newline at end of file diff --git a/assignments/webmap-2/index.html b/assignments/webmap-2/index.html index 7294c32..4637077 100644 --- a/assignments/webmap-2/index.html +++ b/assignments/webmap-2/index.html @@ -1,4 +1,4 @@ -
    Webmaps Part 2 - Scrollytelling Map<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Webmaps Part 2 - Scrollytelling Map

    Making a Scrollytelling map with Mapbox Storytelling

    Now that you have learned QGIS, Git, html, css, javascript and some Mapbox libraries, let's make a custom story map using Mapbox GL JS and Scrollarama.

    This is a format that has become exponentially more common over the past five years or so for telling stories through maps. While a number of newsrooms have used propietary tools built for this purpose for awhile, recently Mapbox implementation has lowered the barrier to entry a lot.

    The below animation is a fairly simple rendition of what this can look like, but they can easily get pretty immersive. See this NYT interactive for the insanely fancy, and this WaPo story for a very clever use of a self-collected dataset to tell a much larger story.

    Scrollytelling

    Setup

    Create a Mapbox Studio account

    Because it reduces the complexity of our setup, we'll be adding our data layers through mapbox studio. Make an account if you don't have one already, or login if you do. Later on, we will style our data layers again in mapbox studio, and add them to our map using their layer-id.

    While this method gets our maps up and running quicker, for those with a bit more experience and interested in a more flexible storytelling format, I recommend this tutorial from the GSAPP course Points Unknown (I also recommend taking the course!)

    File Setup

    We're going to build off of the last tutorial to build this, so make sure you have that up and running first, or download the completed repo here.

    We'll start by creating a new repo called webmap_2_storytelling, cloning it to your local filesystem, copying over the contents of webmap_1 into it, and starting a live server. If you have any trouble with this - refer to the beginning of the previous tutorial.

    By now, you should have the same file contents and result as you did from the last tutorial

    FileSetup

    To start, we will edit our index.html to include the correct setup for mapbox, and set up our map in a config.js instead of the map.js we were using earlier. We will be taking this code from the official Mapbox Storytelling repo.

    It is important to note that if some of this is confusing, that is fine. using something copy pasted from the internet without fully understanding what it does is totally par for the course, especially when it comes to niche javascript libraries.

    Editing index.html

    Copy and paste the entirety of this into your index.html. If your curious, this code comes from the src > index.html in the Mapbox Storytelling repo:

    <!DOCTYPE html>
+
    Webmaps Part 2 - Scrollytelling Map<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024
    Webmaps Part 2 - Scrollytelling Map
    Making a Scrollytelling map with Mapbox Storytelling
    Now that you have learned QGIS, Git, html, css, javascript and some Mapbox libraries, let's make a custom story map using Mapbox GL JS and Scrollarama. 
    This is a format that has become exponentially more common over the past five years or so for telling stories through maps. While a number of newsrooms have used propietary tools built for this purpose for awhile, recently Mapbox implementation has lowered the barrier to entry a lot.  
    The below animation is a fairly simple rendition of what this can look like, but they can easily get pretty immersive. See this NYT interactive for the insanely fancy, and this WaPo story for a very clever use of a self-collected dataset to tell a much larger story.
    Scrollytelling
    Setup
    Create a Mapbox Studio account
    Because it reduces the complexity of our setup, we'll be adding our data layers through mapbox studio. Make an account if you don't have one already, or login if you do. Later on, we will style our data layers again in mapbox studio, and add them to our map using their layer-id.
    While this method gets our maps up and running quicker, for those with a bit more experience and interested in a more flexible storytelling format, I recommend this tutorial from the GSAPP course Points Unknown (I also recommend taking the course!) 
    File Setup
    We're going to build off of the last tutorial to build this, so make sure you have that up and running first, or download the completed repo here.
    We'll start by creating a new repo called webmap_2_storytelling, cloning it to your local filesystem, copying over the contents of webmap_1 into it, and starting a live server. If you have any trouble with this - refer to the beginning of the previous tutorial.
    By now, you should have the same file contents and result as you did from the last tutorial
    FileSetup
    To start, we will edit our index.html to include the correct setup for mapbox, and set up our map in a config.js instead of the map.js we were using earlier. We will be taking this code from the official Mapbox Storytelling repo.
    It is important to note that if some of this is confusing, that is fine. using something copy pasted from the internet without fully understanding what it does is totally par for the course, especially when it comes to niche javascript libraries. 
    Editing index.html
    Copy and paste the entirety of this into your index.html. If your curious, this code comes from the src > index.html in the Mapbox Storytelling repo:
    <!DOCTYPE html>
 <html>
 <head>
     <meta charset='utf-8' />
@@ -396,8 +396,29 @@
         }`
     ]
 };
-
    With those two added, you'll want to add your accessToken where it currently says accessToken: 'YOUR_ACCESS_TOKEN',.  
    Once you do that, save and possibly refresh, you're all set up! Your map.js is no longer of any use to you, and you can feel free to delete it if you would like to keep your repo clean. You should have a template story with some basic animation in your browser, which looks something like this:
    MapboxTemplate
    Adding your Content
    Creating a Style and Adding it
    Next we'll start adding our own content to the map - and by this I mean our datasets. For this we'll go back to Mapbox Studio.
    In Mapbox Studio, click "New Style" and select your style. I'll go with Monochrome and the Light variation. One you make the map go ahead and give it a name, we'll only need one for the whole project, so I would name it the same thing, webmap_2_storytelling.
    MbStudioStyle
    Now that we have our base style, let's go ahead and add it to our storymap. On the top right, click Publish, click through that menu, and then click the Share button immediately to it's left. There you can copy the Style URL for your map, and then put it in your config.js.
    Now, any style changes that you make on your mapbox studio map will show in your storymap. Take note of the menus description of the difference between draft and production share urls - if you don't see change reflected right away on your map, that may be why. If you haven't done so yet, copy over your Access Token too. This should be the same one as you made earlier. 
    StyleUrl
    Adding and Styling data in Mapbox Studio
    Let's add the data we used in the previous tutorial. Tab over to the Layers menu on the left-hand toolbox, and hit the plus icon. In the next menu hit Source and then Upload Data. Upload our blocks_joined_trees_um.gejson dataset.
    TilesetID
    You should see the dataset being uploading in the bottom right-hand corner. Once it is done, enter the url under Add Source by ID, or by searching for it under Your Sources. If it doesn't work or you can't find it, give it a second until it is done processing. If you pan over to NYC, you should see the footprint of your dataset there.
    Once your dataset is added as a layer, click back onto the Style menu for that layer, and click Color. Select Style Across Data Range in the menu, and then a pop-up will ask which variable in the data range, select avg_diamet, or however you have the variable named. 
    DataRange
    Now, in a very similar fashion to QGIS, we will style the data as a gradient from small to large average radius per block. Select + Add another stop until we have five - you'll notice that the radius will already be determined based on the number of stops and the linear rate of change we have selected above. Now that we have those, let's select our colors. I will use ColorBrewer2 again.
    After we have our stops and colors added, lets drag our layer down so it is only above the Land, water & sky layers, so the other map data will be on top of the blocks. Lastly, you may notice that there are some black polygons left, if you remember in the last tutorial, we filtered these out by catching them with a null filter. However (to my knowledge) there is not a way of doing this in Mapbox Studio.
-While it will work for now, this means that for your own projects, you should filter out the null values when in QGIS before exporting, so you don't have to deal with that styling issue here.
    BLOCKSTYLE
    Now the Layer is added and ready to use. Lastly let's rename it so that it will be easy to reference in the storymap, I'm renaming it back to the dataset name, or blocks-joined-trees-um.
    Adding and Styling Another dataset
    Repeat the steps above but for your 2015_Street_Tree_Census_subset_um.geojson dataset. Instead of choosing Style across data range for color, we will select a single color and Style across data range for Radius, and use the tree_dbh variable.
    This time, the default values mapbox will give us when adding stops will be way too large, on account of an outlier in the dataset. Reference your QGIS project for good stops, for me that was 2.615, 6.444, 9.379, 15.036, and 26.000. For my size I used 1 to 5 px.
    Lastly, rename the layer so that it is easy to type, I did 2015-street-tree-census-subset, and move the layer so that it is below labels but above road geometries.
    TREESTYLE
    Make sure to hit Publish after you're finished with that. Okay, we're done with Mapbox Studio! Back to our text editor. 
    Making a storymap
    Step 1: Finding a Story
    This is probably the hardest part, and unfortunately not one that is possible for me to complete in the tutorial. For demo purposes, I'll tell a story about trees in uptown nyc. There are a lot of trees all over the world, so I think I'll start out at global scale, zoom in, and then turn on data layers one at a time. (Please make a story better than this.)
    Now that I have my title, I'll start by editing the titles and bylines. In my config.js this is everything above chapters, which we'll get to next. This is also where global settings for the story are defined and while this template doesn't have all it has some, so pay attention to some of those, like showMarkers, for example. I set that to false because I think it is distracting, while I set use3dTerrain to true.
    var config = {
+
    With those two added, you'll want to add your accessToken where it currently says accessToken: 'YOUR_ACCESS_TOKEN',.  
    Once you do that, save and possibly refresh, you're all set up! Your map.js is no longer of any use to you, and you can feel free to delete it if you would like to keep your repo clean. You should have a template story with some basic animation in your browser, which looks something like this:
    
+      
+  MapboxTemplate
+    
    Adding your Content
    Creating a Style and Adding it
    Next we'll start adding our own content to the map - and by this I mean our datasets. For this we'll go back to Mapbox Studio.
    In Mapbox Studio, click "New Style" and select your style. I'll go with Monochrome and the Light variation. One you make the map go ahead and give it a name, we'll only need one for the whole project, so I would name it the same thing, webmap_2_storytelling.
    
+      
+  MbStudioStyle
+    
    Now that we have our base style, let's go ahead and add it to our storymap. On the top right, click Publish, click through that menu, and then click the Share button immediately to it's left. There you can copy the Style URL for your map, and then put it in your config.js.
    Now, any style changes that you make on your mapbox studio map will show in your storymap. Take note of the menus description of the difference between draft and production share urls - if you don't see change reflected right away on your map, that may be why. If you haven't done so yet, copy over your Access Token too. This should be the same one as you made earlier. 
    
+      
+  StyleUrl
+    
    Adding and Styling data in Mapbox Studio
    Let's add the data we used in the previous tutorial. Tab over to the Layers menu on the left-hand toolbox, and hit the plus icon. In the next menu hit Source and then Upload Data. Upload our blocks_joined_trees_um.gejson dataset.
    
+      
+  TilesetID
+    
    You should see the dataset being uploading in the bottom right-hand corner. Once it is done, enter the url under Add Source by ID, or by searching for it under Your Sources. If it doesn't work or you can't find it, give it a second until it is done processing. If you pan over to NYC, you should see the footprint of your dataset there.
    Once your dataset is added as a layer, click back onto the Style menu for that layer, and click Color. Select Style Across Data Range in the menu, and then a pop-up will ask which variable in the data range, select avg_diamet, or however you have the variable named. 
    
+      
+  DataRange
+    
    Now, in a very similar fashion to QGIS, we will style the data as a gradient from small to large average radius per block. Select + Add another stop until we have five - you'll notice that the radius will already be determined based on the number of stops and the linear rate of change we have selected above. Now that we have those, let's select our colors. I will use ColorBrewer2 again.
    After we have our stops and colors added, lets drag our layer down so it is only above the Land, water & sky layers, so the other map data will be on top of the blocks. Lastly, you may notice that there are some black polygons left, if you remember in the last tutorial, we filtered these out by catching them with a null filter. However (to my knowledge) there is not a way of doing this in Mapbox Studio.
+While it will work for now, this means that for your own projects, you should filter out the null values when in QGIS before exporting, so you don't have to deal with that styling issue here.
    
+      
+  BLOCKSTYLE
+    
    Now the Layer is added and ready to use. Lastly let's rename it so that it will be easy to reference in the storymap, I'm renaming it back to the dataset name, or blocks-joined-trees-um.
    Adding and Styling Another dataset
    Repeat the steps above but for your 2015_Street_Tree_Census_subset_um.geojson dataset. Instead of choosing Style across data range for color, we will select a single color and Style across data range for Radius, and use the tree_dbh variable.
    This time, the default values mapbox will give us when adding stops will be way too large, on account of an outlier in the dataset. Reference your QGIS project for good stops, for me that was 2.615, 6.444, 9.379, 15.036, and 26.000. For my size I used 1 to 5 px.
    Lastly, rename the layer so that it is easy to type, I did 2015-street-tree-census-subset, and move the layer so that it is below labels but above road geometries.
    
+      
+  TREESTYLE
+    
    Make sure to hit Publish after you're finished with that. Okay, we're done with Mapbox Studio! Back to our text editor. 
    Making a storymap
    Step 1: Finding a Story
    This is probably the hardest part, and unfortunately not one that is possible for me to complete in the tutorial. For demo purposes, I'll tell a story about trees in uptown nyc. There are a lot of trees all over the world, so I think I'll start out at global scale, zoom in, and then turn on data layers one at a time. (Please make a story better than this.)
    Now that I have my title, I'll start by editing the titles and bylines. In my config.js this is everything above chapters, which we'll get to next. This is also where global settings for the story are defined and while this template doesn't have all it has some, so pay attention to some of those, like showMarkers, for example. I set that to false because I think it is distracting, while I set use3dTerrain to true.
    var config = {
     style: 'mapbox://styles/adamvosburgh/ckzm6ymoc001y15s707imeig0',
     accessToken: 'pk.eyJ1IjoiYWRhbXZvc2J1cmdoIiwiYSI6ImNrOGE5MDhudzAzcHozbW82cTRnY201ZWEifQ.SyIq-l5sw9Ew6mGRLgfp1w',
     showMarkers: false,
@@ -570,7 +591,10 @@
         }
     ]
 };
-
    Once you have that in and hit save, you should be able to read my story in it's entirety, it should look like this. If you still don't see anything, make sure that you hit publish on your map in Mapbox Studio, and then even after that it can take a few minutes to show up.
    I'll note a few things going on here:
    • Layers are added to the map using the Layer Name that we defined in Mapbox Studio. That is all we need to reference the data and its respective styling.
    • All of the work is being done by onChapterEnter, and setting the opactiy for that layer. I personally only use onChapterExit if I am switching a dataset out for every chapter. My approach is to define the opacity for a layer everytime that it changes - layers won't change unless you tell them to. 
    • One thing you need to think about is what happens when your reader scrolls back up too - you'll want to plan for that so they don't break the site.
    • A really useful tool for setting up the 'camera' is the Mapbox Location Helper.
    • To get the images I added to work, you'll need to add them to your repo. I placed them in a folder called 'img'. Here is the download link.
    • While you can add legends directly onto the map in html, the chapter image field is a really useful place to put legends.
    STORYMAP
    Step 3: Fine-Tune your Story Map
    Now that our map is up and running, we'll want to go back and spend some time styling our various html elements. This can all be done in your index.html, spefically under the <style> tag, where the css for each element is located.
    If you're not familiar with css, don't stress about it too much, but if you would like to change anything in particular, you can figure out the vast majority of what you need to change just by googling around for it. Even the best of web developers look up whether text color is color or text-color on a daily basis. A classic resource for webdev fundamentals is w3 schools.
    The End
    Congratulations! You now have a story map. Just in case there is anything you're troubleshooting, here is a live demo of what it should look like, and here's the config.js in it's entiretly: 
    var config = {
+
    Once you have that in and hit save, you should be able to read my story in it's entirety, it should look like this. If you still don't see anything, make sure that you hit publish on your map in Mapbox Studio, and then even after that it can take a few minutes to show up.
    I'll note a few things going on here:
    • Layers are added to the map using the Layer Name that we defined in Mapbox Studio. That is all we need to reference the data and its respective styling.
    • All of the work is being done by onChapterEnter, and setting the opactiy for that layer. I personally only use onChapterExit if I am switching a dataset out for every chapter. My approach is to define the opacity for a layer everytime that it changes - layers won't change unless you tell them to. 
    • One thing you need to think about is what happens when your reader scrolls back up too - you'll want to plan for that so they don't break the site.
    • A really useful tool for setting up the 'camera' is the Mapbox Location Helper.
    • To get the images I added to work, you'll need to add them to your repo. I placed them in a folder called 'img'. Here is the download link.
    • While you can add legends directly onto the map in html, the chapter image field is a really useful place to put legends.
    
+      
+  STORYMAP
+    
    Step 3: Fine-Tune your Story Map
    Now that our map is up and running, we'll want to go back and spend some time styling our various html elements. This can all be done in your index.html, spefically under the <style> tag, where the css for each element is located.
    If you're not familiar with css, don't stress about it too much, but if you would like to change anything in particular, you can figure out the vast majority of what you need to change just by googling around for it. Even the best of web developers look up whether text color is color or text-color on a daily basis. A classic resource for webdev fundamentals is w3 schools.
    The End
    Congratulations! You now have a story map. Just in case there is anything you're troubleshooting, here is a live demo of what it should look like, and here's the config.js in it's entiretly: 
    var config = {
     style: 'mapbox://styles/adamvosburgh/ckzm6ymoc001y15s707imeig0',
     accessToken: 'pk.eyJ1IjoiYWRhbXZvc2J1cmdoIiwiYSI6ImNrOGE5MDhudzAzcHozbW82cTRnY201ZWEifQ.SyIq-l5sw9Ew6mGRLgfp1w',
     showMarkers: false,
@@ -744,4 +768,4 @@
     ]
 };
 
    Looking forward to seeing what you make!
    Tutorial by Adam Vosburgh, Spring 2022.
    
-Written for Methods in Spatial Research, Spring 2022.
    
\ No newline at end of file
+Written for Methods in Spatial Research, Spring 2022.
    \ No newline at end of file diff --git a/assignments/xyz-tiles/index.html b/assignments/xyz-tiles/index.html index 8998a68..8ff671c 100644 --- a/assignments/xyz-tiles/index.html +++ b/assignments/xyz-tiles/index.html @@ -1 +1 @@ -
    XYZ Tiles<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    XYZ Tiles

    XYZ Tiles

    This information is also included in tutorial 3, but is here seperately to make it easier to find.

    XYZ tiles are layers comprised of multiple tiles that reside on a server and are made available to the public. When added to QGIS or another mapping service, what appears as a seamless map is actually a collection of many smaller images in a grid, delivered by a web server. The maps in Google Maps and other web mapping services are served as XYZ tiles. They are often useful for a quick basemap when exploring preliminary data, but as a general rule it is always good to eventually remove it and have just the right amount of information to communicate the purpose of the map.

    Open Street Maps is an open geographic database contributed to by volunteers. Let's add the default OSM (Open Street Map) XYZ Tile in QGIS, to get a basemap of streets and buildings, among other features.

    You can add XYZ tiles in the Browser Panel of QGIS. Right-click “XYZ Tiles” and select “New Connection”. Give your new connection a name like “Open Street Map”, and paste the following URL into the URL field:

    https://tile.openstreetmap.org/{z}/{x}/{y}.png

    You should now see your entry for Open Street Maps if you expand the XYZ option in the browser panel. Drag this to your layers panel to add it to your QGIS project.

    Other than the default Open Street Map raster tile, there are many more styles based off of that. Some notable ones are:

    • Stamen Toner (black and white): http://a.tile.stamen.com/toner/{z}/{x}/{y}.png
    • Stamen Terrain: http://a.tile.stamen.com/toner/{z}/{x}/{y}.png
    • Mapbox Satellite: https://api.mapbox.com/styles/v1/mapbox/satellite-v9/tiles/256/{z}/{x}/{y}@2x?access_token=MAPBOX_TOKEN_HERE This one requires an access token, which you can get for free with a mapbox account. Instructions here

    Resources compiled by Adam Vosburgh, Spring 2023.

    \ No newline at end of file +
    XYZ Tiles<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    XYZ Tiles

    XYZ Tiles

    This information is also included in tutorial 3, but is here seperately to make it easier to find.

    XYZ tiles are layers comprised of multiple tiles that reside on a server and are made available to the public. When added to QGIS or another mapping service, what appears as a seamless map is actually a collection of many smaller images in a grid, delivered by a web server. The maps in Google Maps and other web mapping services are served as XYZ tiles. They are often useful for a quick basemap when exploring preliminary data, but as a general rule it is always good to eventually remove it and have just the right amount of information to communicate the purpose of the map.

    Open Street Maps is an open geographic database contributed to by volunteers. Let's add the default OSM (Open Street Map) XYZ Tile in QGIS, to get a basemap of streets and buildings, among other features.

    You can add XYZ tiles in the Browser Panel of QGIS. Right-click “XYZ Tiles” and select “New Connection”. Give your new connection a name like “Open Street Map”, and paste the following URL into the URL field:

    https://tile.openstreetmap.org/{z}/{x}/{y}.png

    You should now see your entry for Open Street Maps if you expand the XYZ option in the browser panel. Drag this to your layers panel to add it to your QGIS project.

    Other than the default Open Street Map raster tile, there are many more styles based off of that. Some notable ones are:

    • Stamen Toner (black and white): http://a.tile.stamen.com/toner/{z}/{x}/{y}.png
    • Stamen Terrain: http://a.tile.stamen.com/toner/{z}/{x}/{y}.png
    • Mapbox Satellite: https://api.mapbox.com/styles/v1/mapbox/satellite-v9/tiles/256/{z}/{x}/{y}@2x?access_token=MAPBOX_TOKEN_HERE This one requires an access token, which you can get for free with a mapbox account. Instructions here

    Resources compiled by Adam Vosburgh, Spring 2023.

    \ No newline at end of file diff --git a/index.html b/index.html index 1f6e248..17d7161 100644 --- a/index.html +++ b/index.html @@ -14,4 +14,4 @@ Weekly map assignments will allow you to apply the skills acquired via tutorials and begin to experiment with creative applications of spatial methods. Five map assignments will be completed over the course of the six week course and as such are intended to be limited in scope; experimental; and geared towards learning and creative engagement rather than demonstrating advanced skills. Assignment descriptions and associated assessment rubrics will be distributed each week.

    For the final course session you will assemble your map assignments into a single document/portfolio/atlas.

    Software

    Geographic Information Systems is not a software. As such this course will not seek to provide students with proficiency in a particular software platform.
    Tutorial resources will be primarily provided for QGIS 3.16 (LTR). This is an open source software program for geographic analysis that runs on Windows, Mac, and Linux operating systems. All students will be expected to download and install QGIS 3.16 (LTR). Documentation for QGIS is available here, and a training manual with good basic tutorials is available here and an introduction to GIS methods using QGIS is available here. Information regarding other GIS softwares will be provided in course resources.
    -Knowledge of design and layout programs (Adobe Illustrator, and InDesign) may be useful to you but is not required.

    Course google drive folder

    All readings and course data will be available via Google Drive here.

    Academic Integrity

    The intellectual venture in which we are all engaged requires of faculty and students alike the highest level of personal and academic integrity. As members of an academic community, each one of us bears the responsibility to participate in scholarly discourse and research in a manner characterized by intellectual honesty and scholarly integrity.

    Scholarship, by its very nature, is an iterative process, with ideas and insights building one upon the other. Collaborative scholarship requires the study of other scholars' work, the free discussion of such work, and the explicit acknowledgement of those ideas in any work that inform our own. This exchange of ideas relies upon a mutual trust that sources, opinions, facts, and insights will be properly noted and carefully credited.

    In practical terms, this means that, as students, you must be responsible for the full citations of others' ideas in all of your research papers and projects; you must be scrupulously honest when taking your examinations; you must always submit your own work and not that of another student, scholar, or internet agent.

    Any breach of this intellectual responsibility is a breach of faith with the rest of our academic community. It undermines our shared intellectual culture, and it cannot be tolerated. Students failing to meet these responsibilities should anticipate being asked to leave Columbia.

    For more information on academic integrity at Columbia, students may refer to the Columbia University Undergraduate Guide to Academic Integrity as well as the GSAPP Honor System and Plagiarism Policy.

    Community & Accessibility

    This is a discussion and collaborative-critique based course. All students and the instructor must be respectful of others in the classroom. If you ever feel that the classroom environment is discouraging your participation or is problematic in anyway please contact me.

    GSAPP is committed to full inclusion of all students. Students needing any form of accommodation due to a disability should check in with Disability Services (DS) and speak with me at the beginning of the semester to provide the accommodations letter from DS. Alternatively you may ask your advisor to consult with me regarding your accommodations.

    Email Policy

    Students should not rely on or expect an immediate response to questions sent via email to the instructor. Please begin assignments with enough time to attend office hours or ask a question several days before the assignment is due.

    Learning how to troubleshoot technical issues and locate relevant resources is crucial in your long-term success with GIS methods. With this in mind emails with technical questions must at a minimum contain the following:

    • a clear description of what you are trying to do, and what the problem is
    • a summary of the steps you have already taken to address the issue
    • screenshots (where applicable) that help to explain the problem
    • a link to at least one website you consulted for assistance with the issue before writing the email.The QGIS docs is a good starting place as is GIS Stack Exchange.

    Bibliography

    Baics, Gergely, and Leah Meisterlin. “Zoning Before Zoning: Land Use and Density in Mid-Nineteenth-Century New York City.” Annals of the American Association of Geographers 106, no. 5 (September 2, 2016): 1152–75.

    Battle-Baptiste, Whitney, and Britt Rusert, eds. W.E.B. Du Bois’s Data Portraits: Visualizing Black America: The Color Line at the Turn of the Twentieth Century. First edition. [Amherst, Massachusetts] : Hudson, NY: The W.E.B. Du Bois Center at the University of Massachusetts Amherst ; Princeton Architectural Press, 2018.

    Corner, James. “The Agency of Mapping.” In Landscape Imagination: Collected Essays of James Corner 1990-2010. New York, UNITED STATES: Princeton Architectural Press, 2014.

    Couclelis, Helen. “People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS.” In Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, edited by A. U. Frank, I. Campari, and U. Formentini, 639:65–77. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.

    Desimini, Jill, and Charles Waldheim. “Introduction: Projecting the Landscape Imaginary.” In Cartographic Grounds : Projecting the Landscape Imaginary. New York: Princeton Architectural Press, 2016.

    Ferrari, Marco, Elisa Pasqual, and Andrea Bagnato. A Moving Border: Alpine Cartographies of Climate Change. New York, NY: Columbia Books on Architecture and the City, 2019.

    House, Brian. "Stalking the Smart City." Urban Omnibus 2019

    Kurgan, Laura. “Mapping Considered as a Problem of Theory and Practice.” In Close up at a Distance : Mapping, Technology, and Politics, 9–18. Brooklyn, NY: Zone Books, 2013.

    MĂśrtenbĂśck, Peter, and Helge Mooshammer, eds. Informal Market Worlds: The Architecture of Economic Pressure. Rotterdam: NAI010 Publishers, 2015.

    Rankin, William. "Introduction Territory and the Mapping Sciences" in After The Map: Cartography, Navigation, and the Transformation of Territory in the Twentieth Century. Chicago: University of Chicago Press. 2016.

    Williams, Sarah, Jacqueline Klopp, Daniel Orwa, Peter Waiganjo, and Adam White. “Digital Matatus: Using Mobile Technology to Visualize Informality.” ACSA Annual Meeting Proceedings, The Expanding Periphery and the Migrating Center, 2015, 9.

    Wood, Dennis. "Everything Sings: Maps for a Narrative Atlas." In Places Journal. 2011.

    Woods, Clyde Adrian., and Katherine. McKittrick. “No One Knows the Mysteries at the Bottom of the Ocean.” In Black Geographies and the Politics of Place. Toronto, Ont. : Cambridge, Mass.: Between the Lines ; South End Press, 2007.

    \ No newline at end of file +Knowledge of design and layout programs (Adobe Illustrator, and InDesign) may be useful to you but is not required.

    Course google drive folder

    All readings and course data will be available via Google Drive here.

    Academic Integrity

    The intellectual venture in which we are all engaged requires of faculty and students alike the highest level of personal and academic integrity. As members of an academic community, each one of us bears the responsibility to participate in scholarly discourse and research in a manner characterized by intellectual honesty and scholarly integrity.

    Scholarship, by its very nature, is an iterative process, with ideas and insights building one upon the other. Collaborative scholarship requires the study of other scholars' work, the free discussion of such work, and the explicit acknowledgement of those ideas in any work that inform our own. This exchange of ideas relies upon a mutual trust that sources, opinions, facts, and insights will be properly noted and carefully credited.

    In practical terms, this means that, as students, you must be responsible for the full citations of others' ideas in all of your research papers and projects; you must be scrupulously honest when taking your examinations; you must always submit your own work and not that of another student, scholar, or internet agent.

    Any breach of this intellectual responsibility is a breach of faith with the rest of our academic community. It undermines our shared intellectual culture, and it cannot be tolerated. Students failing to meet these responsibilities should anticipate being asked to leave Columbia.

    For more information on academic integrity at Columbia, students may refer to the Columbia University Undergraduate Guide to Academic Integrity as well as the GSAPP Honor System and Plagiarism Policy.

    Community & Accessibility

    This is a discussion and collaborative-critique based course. All students and the instructor must be respectful of others in the classroom. If you ever feel that the classroom environment is discouraging your participation or is problematic in anyway please contact me.

    GSAPP is committed to full inclusion of all students. Students needing any form of accommodation due to a disability should check in with Disability Services (DS) and speak with me at the beginning of the semester to provide the accommodations letter from DS. Alternatively you may ask your advisor to consult with me regarding your accommodations.

    Email Policy

    Students should not rely on or expect an immediate response to questions sent via email to the instructor. Please begin assignments with enough time to attend office hours or ask a question several days before the assignment is due.

    Learning how to troubleshoot technical issues and locate relevant resources is crucial in your long-term success with GIS methods. With this in mind emails with technical questions must at a minimum contain the following:

    • a clear description of what you are trying to do, and what the problem is
    • a summary of the steps you have already taken to address the issue
    • screenshots (where applicable) that help to explain the problem
    • a link to at least one website you consulted for assistance with the issue before writing the email.The QGIS docs is a good starting place as is GIS Stack Exchange.

    Bibliography

    Baics, Gergely, and Leah Meisterlin. “Zoning Before Zoning: Land Use and Density in Mid-Nineteenth-Century New York City.” Annals of the American Association of Geographers 106, no. 5 (September 2, 2016): 1152–75.

    Battle-Baptiste, Whitney, and Britt Rusert, eds. W.E.B. Du Bois’s Data Portraits: Visualizing Black America: The Color Line at the Turn of the Twentieth Century. First edition. [Amherst, Massachusetts] : Hudson, NY: The W.E.B. Du Bois Center at the University of Massachusetts Amherst ; Princeton Architectural Press, 2018.

    Corner, James. “The Agency of Mapping.” In Landscape Imagination: Collected Essays of James Corner 1990-2010. New York, UNITED STATES: Princeton Architectural Press, 2014.

    Couclelis, Helen. “People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS.” In Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, edited by A. U. Frank, I. Campari, and U. Formentini, 639:65–77. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.

    Desimini, Jill, and Charles Waldheim. “Introduction: Projecting the Landscape Imaginary.” In Cartographic Grounds : Projecting the Landscape Imaginary. New York: Princeton Architectural Press, 2016.

    Ferrari, Marco, Elisa Pasqual, and Andrea Bagnato. A Moving Border: Alpine Cartographies of Climate Change. New York, NY: Columbia Books on Architecture and the City, 2019.

    House, Brian. "Stalking the Smart City." Urban Omnibus 2019

    Kurgan, Laura. “Mapping Considered as a Problem of Theory and Practice.” In Close up at a Distance : Mapping, Technology, and Politics, 9–18. Brooklyn, NY: Zone Books, 2013.

    MĂśrtenbĂśck, Peter, and Helge Mooshammer, eds. Informal Market Worlds: The Architecture of Economic Pressure. Rotterdam: NAI010 Publishers, 2015.

    Rankin, William. "Introduction Territory and the Mapping Sciences" in After The Map: Cartography, Navigation, and the Transformation of Territory in the Twentieth Century. Chicago: University of Chicago Press. 2016.

    Williams, Sarah, Jacqueline Klopp, Daniel Orwa, Peter Waiganjo, and Adam White. “Digital Matatus: Using Mobile Technology to Visualize Informality.” ACSA Annual Meeting Proceedings, The Expanding Periphery and the Migrating Center, 2015, 9.

    Wood, Dennis. "Everything Sings: Maps for a Narrative Atlas." In Places Journal. 2011.

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Object.assign.bind() : function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return _extends.apply(this, arguments); }\nfunction _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = _objectWithoutPropertiesLoose(source, excluded); var key, i; if (Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; }\nfunction _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n/* @jsxRuntime classic */\n/* @jsx mdx */\n\nvar _frontmatter = {\n \"title\": \"Collecting & Mapping\",\n \"date\": \"2024-02-09\",\n \"author\": \"Adam Vosburgh\",\n \"sequence\": 3,\n \"cat\": \"assignment\"\n};\nvar layoutProps = {\n _frontmatter: _frontmatter\n};\nvar MDXLayout = \"wrapper\";\nreturn function MDXContent(_ref) {\n var components = _ref.components,\n props = _objectWithoutProperties(_ref, _excluded);\n return mdx(MDXLayout, _extends({}, layoutProps, props, {\n components: components,\n mdxType: \"MDXLayout\"\n }), mdx(\"h3\", null, \"Due: 2/16\"), mdx(\"h3\", null, \"What\"), mdx(\"p\", null, \"Complete either tutorial 4 or 5, and complete the corresponding assignment: \"), mdx(\"h2\", null, \"Tutorial 4: Making Data from Field Observations\"), mdx(\"p\", null, \"Create a vector dataset of point locations through field work using the GPS receiver of a cell phone. 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Download two (or more!) images captured by the Landsat 8 satellite of the same location on different dates, import them into QGIS and symbolize with a false color composite that helps to highlight a change in the landscape that is visible in your chosen location.\"), mdx(\"p\", null, \"Your final work must be a designed map composition (gifs are okay here too)\\nYour designed map composition must include:\\ntitle\\nlegend\\nscale bar\\nnorth arrow (your map doesn't need to have north pointing vertically...)\\ncitations for all data sources (please use Chicago style or an equivalent)\\nprojection used\"), mdx(\"p\", null, \"Upload to Canvas and Miro:\"), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, \"Your map/maps/gif\")), mdx(\"h3\", null, \"Tutorial 7: Making Data from Aerial Imagery:\"), mdx(\"p\", null, \"Use the Google Static Maps API to download satellite/aerial images for 20 - 100 significant locations of your choosing.\"), mdx(\"p\", null, \"Design a layout to present the images on one or more pages (or GIFs)\"), mdx(\"p\", null, \"Upload to Canvas:\"), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, \"The layout you designed (add this to Miro too)\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"The csv file you used and\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"A screenshot of the directory on your computer where you have saved your downloaded images\")), mdx(\"h3\", null, \"Submission\"), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, \"Upload your work on Canvas (refer to specific instructions above) \"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"add it to \\\"Pin-Up Assignment 4\\\" on the \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"http://tinyurl.com/methods-2024-miro\"\n }, \"Miro board\"))), mdx(\"h3\", null, \"Optional additional exercise\"), mdx(\"p\", null, \"Do both! \"));\n}\n;\nMDXContent.isMDXComponent = true;"}},"pageContext":{"id":"66e3c327-9ce5-5fd3-b114-e9b7d33a3976","slug":"assignment04","__params":{"slug":"assignment04"}}},"staticQueryHashes":["3159585216"]} \ No newline at end of file +{"componentChunkName":"component---src-pages-assignments-mdx-slug-js","path":"/assignments/assignment04/","result":{"data":{"mdx":{"frontmatter":{"title":"Making Data from Satellites or Aerial Imagery"},"body":"var _excluded = [\"components\"];\nfunction _extends() { _extends = Object.assign ? 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Also pay attention to the camera bearing/orientation.\"), mdx(\"p\", null, \"Design a layout to present the images on one or more pages (or GIFs)\"), mdx(\"p\", null, \"Submission Materials:\"), mdx(\"p\", null, \"A multi page PDF with: \"), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, mdx(\"p\", {\n parentName: \"li\"\n }, \"Page 1: the layout you designed, and a link to your google colab notebook.\")), mdx(\"li\", {\n parentName: \"ul\"\n }, mdx(\"p\", {\n parentName: \"li\"\n }, \"Page 2: A screenshot of the directory on your computer where you have saved your downloaded images \")), mdx(\"li\", {\n parentName: \"ul\"\n }, mdx(\"p\", {\n parentName: \"li\"\n }, \"A downloaded csv or geojson of your final dataset (on canvas)\"))), mdx(\"h3\", null, \"Tutorial 9: Making Data in Python:\"), mdx(\"p\", null, \"Now that we have recreated a portion of Tutorial 1 in Python, for the assignment please either:\"), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, \"Recreate tutorial 5 in your own notebook. (just the tutorial, not the challenge)\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"Wrangle your own data and map something else. (you must have at least one non-spatial dataset, and join it to a spatial one.)\")), mdx(\"p\", null, \"Submission Materials:\"), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, \"A single page PDF with your map as a .png, and a link to your google colab notebook.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"A downloaded csv or geojson of your final dataset\")), mdx(\"h3\", null, \"Tutorial 10+11:\"), mdx(\"p\", null, \"Create your own story map, using one of the tutorials we have already made, or your own dataset.\"), mdx(\"p\", null, \"Submission Materials:\"), mdx(\"p\", null, \"A multi-page PDF with:\"), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, \"Page 1: a representative screenshot of your story map, with a title, two sentence summary, and a link to the live map.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"Page 2: A representative screen recording of your story map (less than 30 seconds, does not have to be the full story).\")), mdx(\"h3\", null, \"Submission\"), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, \"Upload your work on Canvas (refer to specific instructions above) \"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"Include it in your finalized Mapping Portfolio\")), mdx(\"h3\", null, \"Optional additional exercise\"), mdx(\"p\", null, \"Do both! \"));\n}\n;\nMDXContent.isMDXComponent = true;"}},"pageContext":{"id":"a3b64886-642b-5ea7-bee3-88b02f8af966","slug":"assignment05","__params":{"slug":"assignment05"}}},"staticQueryHashes":["3159585216"]} \ No newline at end of file diff --git a/page-data/assignments/page-data.json b/page-data/assignments/page-data.json index 0d15723..5c4e60f 100644 --- a/page-data/assignments/page-data.json +++ b/page-data/assignments/page-data.json @@ -1 +1 @@ -{"componentChunkName":"component---src-pages-assignments-index-js","path":"/assignments/","result":{"data":{"allMdx":{"nodes":[{"frontmatter":{"author":"Dare Brawley","cat":"assignment","sequence":1,"title":"Intentional Re/Mis Use"},"id":"56956668-8a27-515b-b81d-f0d5fc069a32","slug":"assignment01"},{"frontmatter":{"author":"Adam Vosburgh","cat":"assignment","sequence":2,"title":"Selective Digitization"},"id":"5bfddc7d-07bb-5956-9ede-bc8966ff78a4","slug":"assignment02"},{"frontmatter":{"author":"Adam Vosburgh","cat":"assignment","sequence":3,"title":"Collecting & Mapping"},"id":"4072758f-c0de-54d2-8223-1a8c8bea025b","slug":"assignment03"},{"frontmatter":{"author":"Adam Vosburgh","cat":"assignment","sequence":4,"title":"Making Data from Satellites or Aerial Imagery"},"id":"66e3c327-9ce5-5fd3-b114-e9b7d33a3976","slug":"assignment04"}]}},"pageContext":{}},"staticQueryHashes":["3159585216"]} \ No newline at end of file +{"componentChunkName":"component---src-pages-assignments-index-js","path":"/assignments/","result":{"data":{"allMdx":{"nodes":[{"frontmatter":{"author":"Dare Brawley","cat":"assignment","sequence":1,"title":"Intentional Re/Mis Use"},"id":"56956668-8a27-515b-b81d-f0d5fc069a32","slug":"assignment01"},{"frontmatter":{"author":"Adam Vosburgh","cat":"assignment","sequence":2,"title":"Selective Digitization"},"id":"5bfddc7d-07bb-5956-9ede-bc8966ff78a4","slug":"assignment02"},{"frontmatter":{"author":"Adam Vosburgh","cat":"assignment","sequence":3,"title":"Collecting & Mapping"},"id":"4072758f-c0de-54d2-8223-1a8c8bea025b","slug":"assignment03"},{"frontmatter":{"author":"Adam Vosburgh","cat":"assignment","sequence":4,"title":"Making Data from Satellites or Aerial Imagery"},"id":"66e3c327-9ce5-5fd3-b114-e9b7d33a3976","slug":"assignment04"},{"frontmatter":{"author":"Adam Vosburgh","cat":"assignment","sequence":5,"title":"Where Next?"},"id":"a3b64886-642b-5ea7-bee3-88b02f8af966","slug":"assignment05"}]}},"pageContext":{}},"staticQueryHashes":["3159585216"]} \ No newline at end of file diff --git a/page-data/assignments/webmap-1/page-data.json b/page-data/assignments/webmap-1/page-data.json index 93e6dfd..ebb354c 100644 --- a/page-data/assignments/webmap-1/page-data.json +++ b/page-data/assignments/webmap-1/page-data.json @@ -1 +1 @@ -{"componentChunkName":"component---src-pages-assignments-mdx-slug-js","path":"/assignments/webmap-1/","result":{"data":{"mdx":{"frontmatter":{"title":"Webmaps Part 1 - Making a Basic Webmap"},"body":"var _excluded = [\"components\"];\nfunction _extends() { _extends = Object.assign ? Object.assign.bind() : function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return _extends.apply(this, arguments); }\nfunction _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = _objectWithoutPropertiesLoose(source, excluded); var key, i; if (Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; }\nfunction _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n/* @jsxRuntime classic */\n/* @jsx mdx */\n\nvar _frontmatter = {\n \"title\": \"Webmaps Part 1 - Making a Basic Webmap\",\n \"date\": \"2022-02-13\",\n \"author\": \"Dare Brawley + Adam Vosburgh\",\n \"sequence\": 10,\n \"cat\": \"tutorial\"\n};\nvar layoutProps = {\n _frontmatter: _frontmatter\n};\nvar MDXLayout = \"wrapper\";\nreturn function MDXContent(_ref) {\n var components = _ref.components,\n props = _objectWithoutProperties(_ref, _excluded);\n return mdx(MDXLayout, _extends({}, layoutProps, props, {\n components: components,\n mdxType: \"MDXLayout\"\n }), mdx(\"h1\", null, \"Step 1: Setting up Github and Mapbox\"), mdx(\"p\", null, \"This tutorial is an introduction to making web maps using \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://www.mapbox.com/mapbox-gl-js/api/\"\n }, \"Mapbox GL JS\"), \". This is a recent javascript library that uses \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://en.wikipedia.org/wiki/WebGL\"\n }, \"WebGL\"), \" to render interactive maps from vector tiles (as opposed to raster tiles) created with \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://www.mapbox.com/mapbox-studio/\"\n }, \"Mapbox Studio\"), \". Data for these maps comes from \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://www.openstreetmap.org\"\n }, \"OpenStreetMap\"), \".\"), mdx(\"p\", null, \"This tutorial will introduce you to the basic setup and what it feels like to develop for a web browser, how to add datasets, and then how to make those datasets interactive. This will be a very different approach than your experience thus far in QGIS, and it is much more prone to error given the number of new concepts and syntaxes involved. Brackets, commas, quotes, and colons... stay with it\\u2014it's ok if you don't understand what everything is doing at first.\"), mdx(\"h2\", null, \"Setup Prerequisites\"), mdx(\"p\", null, \"To publish the web map you will create in this tutorial we will use \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://en.wikipedia.org/wiki/GitHub\"\n }, \"GitHub\"), \". This website provides hosting for software development (a website is a kind of software...) version control using \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://en.wikipedia.org/wiki/Git\"\n }, \"Git\"), \". Git is a system for tracking changes in software development. (You can think of it like a very sophisticated version of Microsoft Word's track changes function, and in fact you can use it in this way for \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://programminghistorian.org/en/lessons/sustainable-authorship-in-plain-text-using-pandoc-and-markdown\"\n }, \"writing\"), \".) This tutorial will walk you through how to use Git with GitHub to track changes you make to your web map. However, it does not cover the mechanics of Git or GitHub.\"), mdx(\"p\", null, \"Using GitHub will allow us to easily host our web maps online, however it requires a bit of set up.\"), mdx(\"p\", null, \"At this stage, you should:\"), mdx(\"ol\", null, mdx(\"li\", {\n parentName: \"ol\"\n }, \"create a \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://github.com\"\n }, \"GitHub\"), \" account if you don't already have one\"), mdx(\"li\", {\n parentName: \"ol\"\n }, \"create a new repository on GitHub\", mdx(\"ul\", {\n parentName: \"li\"\n }, mdx(\"li\", {\n parentName: \"ul\"\n }, \"from the \", mdx(\"strong\", {\n parentName: \"li\"\n }, \"Your Profile\"), \" page in your newly created github account select \", mdx(\"strong\", {\n parentName: \"li\"\n }, \"Repositories\")), mdx(\"li\", {\n parentName: \"ul\"\n }, \"select the green \", mdx(\"strong\", {\n parentName: \"li\"\n }, \"New\"), \" button in the top right of the page\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"name this repository \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"webmap_1\")), mdx(\"li\", {\n parentName: \"ul\"\n }, \"select \", mdx(\"strong\", {\n parentName: \"li\"\n }, \"Initialize this repository with a README\")), mdx(\"li\", {\n parentName: \"ul\"\n }, \"select \", mdx(\"strong\", {\n parentName: \"li\"\n }, \"Create Repository\"), \" \")))), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/157/webmap_1_16.png\",\n \"alt\": \"repository\"\n }), \" \"), mdx(\"ol\", {\n \"start\": 3\n }, mdx(\"li\", {\n parentName: \"ol\"\n }, \"set up your repository as a \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://pages.github.com/\"\n }, \"GitHub page\"), \" (a project site from scratch)\")), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, \"from the new repository you've just created select \", mdx(\"strong\", {\n parentName: \"li\"\n }, \"Settings\")), mdx(\"li\", {\n parentName: \"ul\"\n }, \"scroll down to \", mdx(\"strong\", {\n parentName: \"li\"\n }, \"GitHub Pages\"), \" and select \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"Master Branch\"), \" as the \", mdx(\"strong\", {\n parentName: \"li\"\n }, \"Source\"))), mdx(\"ol\", {\n \"start\": 4\n }, mdx(\"li\", {\n parentName: \"ol\"\n }, mdx(\"p\", {\n parentName: \"li\"\n }, \"install \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://git-scm.com/downloads\"\n }, \"Git\"), \".\"), mdx(\"ul\", {\n parentName: \"li\"\n }, mdx(\"li\", {\n parentName: \"ul\"\n }, \"download and install the git version for your operating system. Follow the instructions of the installer.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"Note that if you're using a Mac, this will just install the Git command-line program, which you can access through the Terminal app. On Windows, you'll get the command-line Git plus a new Terminal-like app called Git Bash.\"))), mdx(\"li\", {\n parentName: \"ol\"\n }, mdx(\"p\", {\n parentName: \"li\"\n }, \"use Git in the Terminal or Git Bash to clone the repository you created on github.\"), mdx(\"ul\", {\n parentName: \"li\"\n }, mdx(\"li\", {\n parentName: \"ul\"\n }, mdx(\"strong\", {\n parentName: \"li\"\n }, \"On Mac\"), \" open your terminal (Applications > Utilities > Terminal.app); \", mdx(\"strong\", {\n parentName: \"li\"\n }, \"on PC\"), \" open Git Bash (Programs > Git > Git Bash, or search for it in the start menu).\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"and learned how to \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://www.macworld.com/article/2042378/master-the-command-line-navigating-files-and-folders.html\"\n }, \"navigate\"), \";\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"navigate to the folder where you would like to create your web map.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"set up git, type the following in your terminal/git bash:\", mdx(\"br\", {\n parentName: \"li\"\n }), mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"git config --global user.name 'Your Name'\"), mdx(\"br\", {\n parentName: \"li\"\n }), mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"git config --global user.email 'email@wherever.com'\"), \" (this email should match the one you used to set up Github)\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"cloned a local copy of your repository to your computer using git.\", mdx(\"ul\", {\n parentName: \"li\"\n }, mdx(\"li\", {\n parentName: \"ul\"\n }, \"by typing: \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"git clone https://github.com/yourusername/webmap_1\"))))))), mdx(\"h4\", null, \"Create empty files that will become your web map and \", mdx(\"inlineCode\", {\n parentName: \"h4\"\n }, \"commit\"), \" your first changes, and \", mdx(\"inlineCode\", {\n parentName: \"h4\"\n }, \"push\"), \" them to GitHub\"), mdx(\"ol\", {\n \"start\": 6\n }, mdx(\"li\", {\n parentName: \"ol\"\n }, \"open your text editor (\", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://code.visualstudio.com/\"\n }, \"VS Code\"), \" is a good one) and create three empty files titled \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"index.html\"), \", \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"style.css\"), \", and \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"map.js\"), \". \", mdx(\"strong\", {\n parentName: \"li\"\n }, \"Save\"), \" them in your \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"webmap_1\"), \" folder. Your \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"webmap_1\"), \" folder should look like this: \")), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/157/webmap_1_17.png\",\n \"alt\": \"initial folder\"\n })), mdx(\"ol\", {\n \"start\": 7\n }, mdx(\"li\", {\n parentName: \"ol\"\n }, \"add the files you just created to your repository, to do this in your Terminal/Git Bash type:\")), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"git add index.html style.css map.js\"))), mdx(\"ol\", {\n \"start\": 8\n }, mdx(\"li\", {\n parentName: \"ol\"\n }, \"\\\"commit\\\" and \\\"push\\\" your changes:\", mdx(\"ul\", {\n parentName: \"li\"\n }, mdx(\"li\", {\n parentName: \"ul\"\n }, \"in Git Bash or Terminal type:\", mdx(\"ul\", {\n parentName: \"li\"\n }, mdx(\"li\", {\n parentName: \"ul\"\n }, mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"git commit -m 'initial import'\"), \"\\nand then\"), mdx(\"li\", {\n parentName: \"ul\"\n }, mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"git push\"), \" \"))))), mdx(\"li\", {\n parentName: \"ol\"\n }, \"view the result on your online github repository (the url should be \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"github.com/yourusername/webmap_1\"), \") github page (the url should be \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"yourgithubusername.github.io/webmap_1\"), \" but you can also find this in the settings of the repository you created on github). You should see something like this: \")), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/157/webmap_1_21.png\",\n \"alt\": \"initial webpage\"\n })), mdx(\"h2\", null, \"A web page\"), mdx(\"p\", null, \"HTML is the structure of a web page, css is the style, and javascript is the functionality or the interaction. Each of these are contained in text files with the appropriate extension\\u2014and they each have entirely different syntax. When you are creating a website you are creating a series of linked files that your browser downloads and uses to construct the display. These files can also come from remote resources, such as in the case of javascript libraries or map tiles.\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/157/webmap_1_17.png\",\n \"alt\": \"initial folder\"\n })), mdx(\"p\", null, \"HTML is defined by a series of tags, which are either in the form \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"\"), \" or \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"\"), \". A comment in HTML, which is simply a non-functional bit of text meant to explicate the code, is in the form \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"\"), \". Reproduce the following in your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"index.html\"), \" file using your text editor (you can copy and paste).\"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-html\"\n }, \" \\n\\n \\n \\n\\n \\n \\n\\n \\n Map Test \\n\\n \\n \\n \\n \\n\\n \\n \\n\\n \\n \\n \\n\\n \\n \\n\\n\\n \\n\\n \\n
    \\n\\n \\n
    \\n\\n \\n \\n\\n\\n\\n\")), mdx(\"p\", null, \"Notice that we are loading several files within this page (these are in the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"\"), \" and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"\\n\\n\\n \\n\\n \\n
    \\n\\n \\n
    \\n\\n \\n \\n\\n\\n\\n\")), mdx(\"p\", null, \"Notice that we are loading several files within this page (these are in the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"\"), \" and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"\\n \\n \\n \\n \\n\\n\\n\\n
    \\n
    \\n\\n\\n\\n\\n\\n\")), mdx(\"p\", null, \"Here we just established all of the overhead for the storymap. Once you are done with your map, if you want to change how any of the constituent parts of it look, like the title or chapter text boxes, you will do so in your index.html.\"), mdx(\"h4\", null, \"Making a config.js\"), mdx(\"p\", null, \"In your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"webmap_2\"), \" directory, make a file called \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"config.js\"), \", and open it in your text editor. Copy all of this code into it, this is from src > config.js.template at the same Mapbox Repo.\"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \"var config = {\\n style: 'mapbox://styles/mapbox/streets-v11',\\n accessToken: 'YOUR_ACCESS_TOKEN',\\n showMarkers: true,\\n markerColor: '#3FB1CE',\\n theme: 'light',\\n use3dTerrain: false,\\n title: 'The Title Text of this Story',\\n subtitle: 'A descriptive and interesting subtitle to draw in the reader',\\n byline: 'By a Digital Storyteller',\\n footer: 'Source: source citations, etc.',\\n chapters: [\\n {\\n id: 'slug-style-id',\\n alignment: 'left',\\n hidden: false,\\n title: 'Display Title',\\n image: './path/to/image/source.png',\\n description: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.',\\n location: {\\n center: [-122.418398, 37.759483],\\n zoom: 8.5,\\n pitch: 60,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n // {\\n // layer: 'layer-name',\\n // opacity: 1,\\n // duration: 5000\\n // }\\n ],\\n onChapterExit: [\\n // {\\n // layer: 'layer-name',\\n // opacity: 0\\n // }\\n ]\\n },\\n {\\n id: 'other-identifier',\\n alignment: 'right',\\n hidden: false,\\n title: 'Second Title',\\n image: './path/to/image/source.png',\\n description: 'Copy these sections to add to your story.',\\n location: {\\n center: [-77.020636, 38.886900],\\n zoom: 8.5,\\n pitch: 60,\\n bearing: -43.2\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [],\\n onChapterExit: []\\n }`\\n ]\\n};\\n\")), mdx(\"p\", null, \"With those two added, you'll want to add your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"accessToken\"), \" where it currently says \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"accessToken: 'YOUR_ACCESS_TOKEN',\"), \". \"), mdx(\"p\", null, \"Once you do that, save and possibly refresh, you're all set up! Your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"map.js\"), \" is no longer of any use to you, and you can feel free to delete it if you would like to keep your repo clean. You should have a template story with some basic animation in your browser, which looks something like this:\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_02.png\",\n \"alt\": \"MapboxTemplate\"\n })), mdx(\"h2\", null, \"Adding your Content\"), mdx(\"h4\", null, \"Creating a Style and Adding it\"), mdx(\"p\", null, \"Next we'll start adding our own content to the map - and by this I mean our datasets. For this we'll go back to \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://studio.mapbox.com/\"\n }, \"Mapbox Studio\"), \".\"), mdx(\"p\", null, \"In Mapbox Studio, click \\\"New Style\\\" and select your style. I'll go with \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Monochrome\"), \" and the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Light\"), \" variation. One you make the map go ahead and give it a name, we'll only need one for the whole project, so I would name it the same thing, \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"webmap_2_storytelling\"), \".\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_03.png\",\n \"alt\": \"MbStudioStyle\"\n })), mdx(\"p\", null, \"Now that we have our base style, let's go ahead and add it to our storymap. On the top right, click \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Publish\"), \", click through that menu, and then click the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Share\"), \" button immediately to it's left. There you can copy the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style URL\"), \" for your map, and then put it in your config.js.\"), mdx(\"p\", null, \"Now, any style changes that you make on your mapbox studio map will show in your storymap. Take note of the menus description of the difference between \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"draft\"), \" and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"production\"), \" share urls - if you don't see change reflected right away on your map, that may be why. If you haven't done so yet, copy over your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Access Token\"), \" too. This should be the same one as you made earlier. \"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_04.png\",\n \"alt\": \"StyleUrl\"\n })), mdx(\"h4\", null, \"Adding and Styling data in Mapbox Studio\"), mdx(\"p\", null, \"Let's add the data we used in the previous tutorial. Tab over to the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Layers\"), \" menu on the left-hand toolbox, and hit the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"plus\"), \" icon. In the next menu hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Source\"), \" and then \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Upload Data\"), \". Upload our \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"blocks_joined_trees_um.gejson\"), \" dataset.\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_05.png\",\n \"alt\": \"TilesetID\"\n })), mdx(\"p\", null, \"You should see the dataset being uploading in the bottom right-hand corner. Once it is done, enter the url under \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Add Source by ID\"), \", or by searching for it under \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Your Sources.\"), \" If it doesn't work or you can't find it, give it a second until it is done processing. If you pan over to NYC, you should see the footprint of your dataset there.\"), mdx(\"p\", null, \"Once your dataset is added as a layer, click back onto the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style\"), \" menu for that layer, and click Color. Select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style Across Data Range\"), \" in the menu, and then a pop-up will ask which variable in the data range, select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"avg_diamet\"), \", or however you have the variable named. \"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_06.png\",\n \"alt\": \"DataRange\"\n })), mdx(\"p\", null, \"Now, in a very similar fashion to QGIS, we will style the data as a gradient from small to large average radius per block. Select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"+ Add another stop\"), \" until we have five - you'll notice that the radius will already be determined based on the number of stops and the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"linear\"), \" rate of change we have selected above. Now that we have those, let's select our colors. I will use \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://colorbrewer2.org/#type=sequential&scheme=BuGn&n=5\"\n }, \"ColorBrewer2\"), \" again.\"), mdx(\"p\", null, \"After we have our stops and colors added, lets drag our layer down so it is only above the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Land, water & sky\"), \" layers, so the other map data will be on top of the blocks. Lastly, you may notice that there are some black polygons left, if you remember in the last tutorial, we filtered these out by catching them with a \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"null\"), \" filter. However (to my knowledge) there is not a way of doing this in Mapbox Studio.\\nWhile it will work for now, this means that for your own projects, you should filter out the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"null\"), \" values when in QGIS before exporting, so you don't have to deal with that styling issue here.\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_07.png\",\n \"alt\": \"BLOCKSTYLE\"\n })), mdx(\"p\", null, \"Now the Layer is added and ready to use. Lastly let's rename it so that it will be easy to reference in the storymap, I'm renaming it back to the dataset name, or \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"blocks-joined-trees-um\"), \".\"), mdx(\"h4\", null, \"Adding and Styling Another dataset\"), mdx(\"p\", null, \"Repeat the steps above but for your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2015_Street_Tree_Census_subset_um.geojson\"), \" dataset. Instead of choosing \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style across data range\"), \" for color, we will select a single color and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style across data range\"), \" for \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Radius\"), \", and use the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"tree_dbh\"), \" variable.\"), mdx(\"p\", null, \"This time, the default values mapbox will give us when adding stops will be way too large, on account of an outlier in the dataset. Reference your QGIS project for good stops, for me that was \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2.615\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"6.444\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"9.379\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"15.036,\"), \" and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"26.000\"), \". For my \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"size\"), \" I used 1 to 5 px.\"), mdx(\"p\", null, \"Lastly, rename the layer so that it is easy to type, I did \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2015-street-tree-census-subset\"), \", and move the layer so that it is below labels but above road geometries.\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_08.png\",\n \"alt\": \"TREESTYLE\"\n })), mdx(\"p\", null, \"Make sure to hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Publish\"), \" after you're finished with that. Okay, we're done with Mapbox Studio! Back to our text editor. \"), mdx(\"h2\", null, \"Making a storymap\"), mdx(\"h4\", null, \"Step 1: Finding a Story\"), mdx(\"p\", null, \"This is probably the hardest part, and unfortunately not one that is possible for me to complete in the tutorial. For demo purposes, I'll tell a story about trees in uptown nyc. There are a lot of trees all over the world, so I think I'll start out at global scale, zoom in, and then turn on data layers one at a time. (Please make a story better than this.)\"), mdx(\"p\", null, \"Now that I have my title, I'll start by editing the titles and bylines. In my \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"config.js\"), \" this is everything above \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"chapters\"), \", which we'll get to next. This is also where global settings for the story are defined and while this template doesn't have all it has some, so pay attention to some of those, like \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"showMarkers\"), \", for example. I set that to \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"false\"), \" because I think it is distracting, while I set \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"use3dTerrain\"), \" to \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"true\"), \".\"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \"var config = {\\n style: 'mapbox://styles/adamvosburgh/ckzm6ymoc001y15s707imeig0',\\n accessToken: 'pk.eyJ1IjoiYWRhbXZvc2J1cmdoIiwiYSI6ImNrOGE5MDhudzAzcHozbW82cTRnY201ZWEifQ.SyIq-l5sw9Ew6mGRLgfp1w',\\n showMarkers: false,\\n markerColor: '#3FB1CE',\\n theme: 'light',\\n use3dTerrain: true,\\n title: 'NYC Street Trees',\\n subtitle: 'A Tale of Many Trees',\\n byline: 'By Adam Vosburgh',\\n footer: 'Source: source citations, etc.',\\n\")), mdx(\"h4\", null, \"Step 2: Adding Chapters\"), mdx(\"p\", null, mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Chapters\"), \" are the manner by which you tell mapbox what information to show depending on how far a reader has scrolled. Every chapter has an \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"id\"), \" which must be unique, a camera (in the form of location/zoom/pitch,) and an \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"onChapterEnter\"), \" / `onChapterExit' event. Aside from these, there are lots of options that you may or may not need (some of which are included in the template), but those are the core. \"), mdx(\"p\", null, \"Here are my chapters: \"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \" chapters: [\\n {\\n id: 'chapter-1',\\n alignment: 'left',\\n hidden: false,\\n title: 'Trees of the World',\\n image: './img/tree.png',\\n description: \\\"There are a lot of trees in the world. Here is a picture of one of them. Let's look at one place in particular which has a lot of trees, but is not necessarily known for that.\\\",\\n location: {\\n center: [0, 0],\\n zoom: 2,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 0,\\n duration: 3000,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-2',\\n alignment: 'left',\\n hidden: false,\\n title: 'New York City',\\n image: './img/legend-tree.png',\\n description: 'New York City has lots of street trees. In fact, trees are a super important part of NYCs resilient infrastructure, saving millions a year in drainage costs and providing heat relief to blocks in the summer. This dataset shown here is from the 2015 NYC Street Tree Census - where volunteers measure mark and identify trees.',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 15,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n duration: 3000,\\n },\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-3',\\n alignment: 'left',\\n hidden: false,\\n title: 'Not So Many Trees',\\n description: 'In this dataset, there are areas with not so many trees...',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 18.75,\\n pitch: 60,\\n bearing: -60\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-4',\\n alignment: 'right',\\n hidden: false,\\n title: 'Many Trees',\\n description: 'And areas with lots of trees!',\\n location: {\\n center: [-73.96059, 40.80322],\\n zoom: 19,\\n pitch: 60,\\n bearing: 15\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-5',\\n alignment: 'right',\\n hidden: false,\\n title: 'Block Summary',\\n image: './img/legend-block.png',\\n description: 'Summarizing the tree data by block also allows us to view larger trends in tree cover in NYC. Greener blocks have higher average street tree diameters than lighter blocks.',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 15,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 1,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-6',\\n alignment: 'left',\\n hidden: false,\\n title: 'The End',\\n description: 'Tutorial Created for Methods in Spatial Research, Spring 2022.',\\n location: {\\n center: [-73.96089, 40.80827],\\n zoom: 19,\\n pitch: 30,\\n bearing: 115\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: true,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 0,\\n duration: 3000,\\n }\\n ],\\n onChapterExit: []\\n }\\n ]\\n};\\n\")), mdx(\"p\", null, \"Once you have that in and hit save, you should be able to read my story in it's entirety, it should look like \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://adamvosburgh.github.io/webmap_2_storytelling/\"\n }, \"this\"), \". If you still don't see anything, make sure that you hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"publish\"), \" on your map in Mapbox Studio, and then even after that it can take a few minutes to show up.\"), mdx(\"p\", null, \"I'll note a few things going on here:\"), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, \"Layers are added to the map using the Layer Name that we defined in Mapbox Studio. That is all we need to reference the data and its respective styling.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"All of the work is being done by \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"onChapterEnter\"), \", and setting the opactiy for that layer. I personally only use \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"onChapterExit\"), \" if I am switching a dataset out for every chapter. My approach is to define the opacity for a layer everytime that it changes - layers won't change unless you tell them to. \"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"One thing you need to think about is what happens when your reader scrolls back up too - you'll want to plan for that so they don't break the site.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"A really useful tool for setting up the 'camera' is the \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://demos.mapbox.com/location-helper/\"\n }, \"Mapbox Location Helper\"), \".\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"To get the images I added to work, you'll need to add them to your repo. I placed them in a folder called 'img'. Here is the \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://drive.google.com/drive/folders/1y5rgHK8I6ZIICwJhCx4Ei7qADSf9Msdx?usp=sharing\"\n }, \"download link\"), \".\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"While you can add legends directly onto the map in html, the chapter image field is a really useful place to put legends.\")), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_09.png\",\n \"alt\": \"STORYMAP\"\n })), mdx(\"h4\", null, \"Step 3: Fine-Tune your Story Map\"), mdx(\"p\", null, \"Now that our map is up and running, we'll want to go back and spend some time styling our various html elements. This can all be done in your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"index.html\"), \", spefically under the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"\\n\\n\\n\\n
    \\n
    \\n\\n\\n\\n\\n\\n\")), mdx(\"p\", null, \"Here we just established all of the overhead for the storymap. Once you are done with your map, if you want to change how any of the constituent parts of it look, like the title or chapter text boxes, you will do so in your index.html.\"), mdx(\"h4\", null, \"Making a config.js\"), mdx(\"p\", null, \"In your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"webmap_2\"), \" directory, make a file called \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"config.js\"), \", and open it in your text editor. Copy all of this code into it, this is from src > config.js.template at the same Mapbox Repo.\"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \"var config = {\\n style: 'mapbox://styles/mapbox/streets-v11',\\n accessToken: 'YOUR_ACCESS_TOKEN',\\n showMarkers: true,\\n markerColor: '#3FB1CE',\\n theme: 'light',\\n use3dTerrain: false,\\n title: 'The Title Text of this Story',\\n subtitle: 'A descriptive and interesting subtitle to draw in the reader',\\n byline: 'By a Digital Storyteller',\\n footer: 'Source: source citations, etc.',\\n chapters: [\\n {\\n id: 'slug-style-id',\\n alignment: 'left',\\n hidden: false,\\n title: 'Display Title',\\n image: './path/to/image/source.png',\\n description: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.',\\n location: {\\n center: [-122.418398, 37.759483],\\n zoom: 8.5,\\n pitch: 60,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n // {\\n // layer: 'layer-name',\\n // opacity: 1,\\n // duration: 5000\\n // }\\n ],\\n onChapterExit: [\\n // {\\n // layer: 'layer-name',\\n // opacity: 0\\n // }\\n ]\\n },\\n {\\n id: 'other-identifier',\\n alignment: 'right',\\n hidden: false,\\n title: 'Second Title',\\n image: './path/to/image/source.png',\\n description: 'Copy these sections to add to your story.',\\n location: {\\n center: [-77.020636, 38.886900],\\n zoom: 8.5,\\n pitch: 60,\\n bearing: -43.2\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [],\\n onChapterExit: []\\n }`\\n ]\\n};\\n\")), mdx(\"p\", null, \"With those two added, you'll want to add your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"accessToken\"), \" where it currently says \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"accessToken: 'YOUR_ACCESS_TOKEN',\"), \". \"), mdx(\"p\", null, \"Once you do that, save and possibly refresh, you're all set up! Your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"map.js\"), \" is no longer of any use to you, and you can feel free to delete it if you would like to keep your repo clean. You should have a template story with some basic animation in your browser, which looks something like this:\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"90.49999999999999%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAASCAYAAABb0P4QAAAACXBIWXMAAA7DAAAOwwHHb6hkAAACxklEQVQ4y32T6XLiQAyE/f7vlWtzACEhmwsb8DH3jPGBbUj1loRJJdna/dHMIFvfSK1xlOUFpFSQSkMbi+UqRbzKkKxzrFOBVSp4/ap4nX3Te5Li98uSc6LdbodhGFA3DZq2RT8M2B8OqOsaQkgorSGlhFIKSmlW1/UY9nv0fc/qug5t26JpGkT0Q8GBNAygAwhWhvAJkkJACMH/i6JAVVX8DoEoh/IPhwOMMYj6rsPHxwH7/Z5FL+d5ziBnLdtBMIppbWCMhdaaY03Tcs4J6JxDlAkJoQ2s99i1LdpdyyeTmraB9x7WWoQQONb3R1GLXbfjtW0b7HYtdxCd3d7h7G6C6eIJQhZwTsMYBWs1lJYs7x2sMwjBoapKbLcBzltsqxJl6WGsgXMWWbZBdDWdIS0E1lmOQqrRnwpNU6MsA6w18N4yUCrJsCO05BiBQulR11sIkSP6NbuHDyW3VVc1mubYBvlCUKUkfHDIRQ5jNUO5OgZaOO9437Y1pBSIrmb3cD6M5ksWDcD7gG215fZfkgSTxRMDCylYQgqG51IwOASPvMjGCn1AluVI04zXTZrBWsdWTB4fMXl+xfl8wQDyjLwkALXqg+cOSEqrI5CS4zhBkqxYtA+hZCANLBcF3pMEN/MHvCYxpBLsHbVOA6MDyFtqnYHbbQVNn94oqnjoB+RS4WIyxfNyycOhaa7SDdZZynttNHvsxhtA8OhyOsNyvUG8SXklJWmGVZrh6e0d9PzX/ZwnSm1RstaKYVQl34TxGdkRUQWk86+6m7AuRhgNLkk3x+tjNQ+H2uX7N7ZNB1AXDLyeP3Div0RAqnTx+saJBObhEHT8CEI4DoiBp6STfsJOe6r4brHAW5LgLY7xGseQ+jh5x5fcfAf+r8LT/nJ2z2Baz8fcZLPmqulTjM5ubnH1xau/wBQb158HXVPOdIbb+cOnh38AWyAveNrLA5IAAAAASUVORK5CYII=')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"MapboxTemplate\",\n \"title\": \"MapboxTemplate\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/5a190/webmap_2_02.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/772e8/webmap_2_02.png 200w\", \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/e17e5/webmap_2_02.png 400w\", \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/5a190/webmap_2_02.png 800w\", \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/c1b63/webmap_2_02.png 1200w\", \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/7a4b2/webmap_2_02.png 1240w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"h2\", null, \"Adding your Content\"), mdx(\"h4\", null, \"Creating a Style and Adding it\"), mdx(\"p\", null, \"Next we'll start adding our own content to the map - and by this I mean our datasets. For this we'll go back to \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://studio.mapbox.com/\"\n }, \"Mapbox Studio\"), \".\"), mdx(\"p\", null, \"In Mapbox Studio, click \\\"New Style\\\" and select your style. I'll go with \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Monochrome\"), \" and the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Light\"), \" variation. One you make the map go ahead and give it a name, we'll only need one for the whole project, so I would name it the same thing, \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"webmap_2_storytelling\"), \".\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"78.5%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAQCAYAAAAWGF8bAAAACXBIWXMAAA7DAAAOwwHHb6hkAAADZUlEQVQ4y3WTy08bVxTG58/rrlJXUXftqotIXbRSW6UCkighGENejduCoIu2WSQlDYQC5hVIkdKW+onBYHv8AA/YHns8Y3s8Y3tmftVcpyVSlSt9OtI5d777ne+ckQKP5gmGfmAyNM/9mTkezM4L3J+5xL+5y9oc09/OCEyFvicY+o7AozmmQrNIp0qNbKGMclGjqRs0mk20ZhPD0GkZOrrRpKkPc01dp1AqIReLZOQ8cqFIPJUimkhQPFN4vhpGMtuntPUytm3z9lE7UG15tLrQ64P3Jq9pQ2LdMJALBRKpFCfZLLqhs7Gzi5SrlMieJrEsE7NrMXAG9Acup3Wb4wubRgvMLli2x8CBSrWGWq/T0DTSmQzRRJJcPi86+G1jEylSKrF5ckZFMzBNE9vu4bgO8VKUg7MEaqNGx+xidrv0+n1qqsp5pUJVVcnKsrDAJ/MfWNt+iVTKHxA9OeG8oWMYBpYgdImmo7xO7lGt17B7fUHmeh7K+Tm5QkGQ+F6m0mlOy2XqWoPw9g7S1c8+IRSaFBeNVlt42R8M+OrmNFc++pRUOoNl20Kh4ziUFYVIPE42nxfEycND8sUirXaL8MsdJLmY50wp0+qYgsj/yHVdimWF40yOrmXjOC79gYPnIR6OJZOCyG/dV3eYTtNoamzu/o7kT85vqdPpYFmWMN7xeOfxV8gfhE/o++kT7sdiQvHq1jaSapiUVR3dGtDzwO3rOHadfleFgcZR1mBvX+OPmMafMYNKTSeROhDr4iv0LfAV+14+W15BsrU2lYJCtaDQrjWx2lWaqox6kQVHY+TWY9774Doffhzk/SvjJA9lDo+PBIGYdq3GmaKQyeV4sriE5Hba2I06Pa3BoGXQtV1My6VjOVh9kOUTIpHXRCJ/kUj8TaVaIX4wVOgvtr+TtXpdEC/6f0rP8xgADgyj5wzhung4WAN4FYetfdiNwXnN5OiNwoycw2i10HRdbMfWqz2kp0vLLK6tCyyFNwRerG/wQsRNnq+u82TJR1jEheU1fnq6wM+/PBNYWF7h15U1FtfCzP74GOnql9f44ua4wLXbE3w9HmDkTvASE0HGAn6cZOROgNFAkLHJ6f8wOjHF6MTw3o3gXaTPx25wPXiPEb8QmObW3QeM3//mf7h97+FbtYfvvPMPloZNlXUyuq8AAAAASUVORK5CYII=')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"MbStudioStyle\",\n \"title\": \"MbStudioStyle\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/5a190/webmap_2_03.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/772e8/webmap_2_03.png 200w\", \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/e17e5/webmap_2_03.png 400w\", \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/5a190/webmap_2_03.png 800w\", \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/c1b63/webmap_2_03.png 1200w\", \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/d9b5d/webmap_2_03.png 1224w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"Now that we have our base style, let's go ahead and add it to our storymap. On the top right, click \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Publish\"), \", click through that menu, and then click the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Share\"), \" button immediately to it's left. There you can copy the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style URL\"), \" for your map, and then put it in your config.js.\"), mdx(\"p\", null, \"Now, any style changes that you make on your mapbox studio map will show in your storymap. Take note of the menus description of the difference between \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"draft\"), \" and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"production\"), \" share urls - if you don't see change reflected right away on your map, that may be why. If you haven't done so yet, copy over your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Access Token\"), \" too. This should be the same one as you made earlier. \"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"63%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"StyleUrl\",\n \"title\": \"StyleUrl\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/5a190/webmap_2_04.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/772e8/webmap_2_04.png 200w\", \"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/e17e5/webmap_2_04.png 400w\", \"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/5a190/webmap_2_04.png 800w\", \"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/1132d/webmap_2_04.png 1158w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"h4\", null, \"Adding and Styling data in Mapbox Studio\"), mdx(\"p\", null, \"Let's add the data we used in the previous tutorial. Tab over to the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Layers\"), \" menu on the left-hand toolbox, and hit the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"plus\"), \" icon. In the next menu hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Source\"), \" and then \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Upload Data\"), \". Upload our \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"blocks_joined_trees_um.gejson\"), \" dataset.\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"37.5%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"TilesetID\",\n \"title\": \"TilesetID\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/5a190/webmap_2_05.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/772e8/webmap_2_05.png 200w\", \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/e17e5/webmap_2_05.png 400w\", \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/5a190/webmap_2_05.png 800w\", \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/c1b63/webmap_2_05.png 1200w\", \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/11a8f/webmap_2_05.png 1272w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"You should see the dataset being uploading in the bottom right-hand corner. Once it is done, enter the url under \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Add Source by ID\"), \", or by searching for it under \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Your Sources.\"), \" If it doesn't work or you can't find it, give it a second until it is done processing. If you pan over to NYC, you should see the footprint of your dataset there.\"), mdx(\"p\", null, \"Once your dataset is added as a layer, click back onto the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style\"), \" menu for that layer, and click Color. Select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style Across Data Range\"), \" in the menu, and then a pop-up will ask which variable in the data range, select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"avg_diamet\"), \", or however you have the variable named. \"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"77%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"DataRange\",\n \"title\": \"DataRange\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/5a190/webmap_2_06.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/772e8/webmap_2_06.png 200w\", \"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/e17e5/webmap_2_06.png 400w\", \"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/5a190/webmap_2_06.png 800w\", \"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/90712/webmap_2_06.png 882w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"Now, in a very similar fashion to QGIS, we will style the data as a gradient from small to large average radius per block. Select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"+ Add another stop\"), \" until we have five - you'll notice that the radius will already be determined based on the number of stops and the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"linear\"), \" rate of change we have selected above. Now that we have those, let's select our colors. I will use \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://colorbrewer2.org/#type=sequential&scheme=BuGn&n=5\"\n }, \"ColorBrewer2\"), \" again.\"), mdx(\"p\", null, \"After we have our stops and colors added, lets drag our layer down so it is only above the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Land, water & sky\"), \" layers, so the other map data will be on top of the blocks. Lastly, you may notice that there are some black polygons left, if you remember in the last tutorial, we filtered these out by catching them with a \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"null\"), \" filter. However (to my knowledge) there is not a way of doing this in Mapbox Studio.\\nWhile it will work for now, this means that for your own projects, you should filter out the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"null\"), \" values when in QGIS before exporting, so you don't have to deal with that styling issue here.\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"64.99999999999999%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"BLOCKSTYLE\",\n \"title\": \"BLOCKSTYLE\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/5a190/webmap_2_07.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/772e8/webmap_2_07.png 200w\", \"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/e17e5/webmap_2_07.png 400w\", \"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/5a190/webmap_2_07.png 800w\", \"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/f4281/webmap_2_07.png 1016w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"Now the Layer is added and ready to use. Lastly let's rename it so that it will be easy to reference in the storymap, I'm renaming it back to the dataset name, or \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"blocks-joined-trees-um\"), \".\"), mdx(\"h4\", null, \"Adding and Styling Another dataset\"), mdx(\"p\", null, \"Repeat the steps above but for your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2015_Street_Tree_Census_subset_um.geojson\"), \" dataset. Instead of choosing \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style across data range\"), \" for color, we will select a single color and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style across data range\"), \" for \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Radius\"), \", and use the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"tree_dbh\"), \" variable.\"), mdx(\"p\", null, \"This time, the default values mapbox will give us when adding stops will be way too large, on account of an outlier in the dataset. Reference your QGIS project for good stops, for me that was \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2.615\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"6.444\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"9.379\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"15.036,\"), \" and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"26.000\"), \". For my \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"size\"), \" I used 1 to 5 px.\"), mdx(\"p\", null, \"Lastly, rename the layer so that it is easy to type, I did \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2015-street-tree-census-subset\"), \", and move the layer so that it is below labels but above road geometries.\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"77%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"TREESTYLE\",\n \"title\": \"TREESTYLE\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/5a190/webmap_2_08.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/772e8/webmap_2_08.png 200w\", \"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/e17e5/webmap_2_08.png 400w\", \"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/5a190/webmap_2_08.png 800w\", \"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/966a0/webmap_2_08.png 944w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"Make sure to hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Publish\"), \" after you're finished with that. Okay, we're done with Mapbox Studio! Back to our text editor. \"), mdx(\"h2\", null, \"Making a storymap\"), mdx(\"h4\", null, \"Step 1: Finding a Story\"), mdx(\"p\", null, \"This is probably the hardest part, and unfortunately not one that is possible for me to complete in the tutorial. For demo purposes, I'll tell a story about trees in uptown nyc. There are a lot of trees all over the world, so I think I'll start out at global scale, zoom in, and then turn on data layers one at a time. (Please make a story better than this.)\"), mdx(\"p\", null, \"Now that I have my title, I'll start by editing the titles and bylines. In my \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"config.js\"), \" this is everything above \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"chapters\"), \", which we'll get to next. This is also where global settings for the story are defined and while this template doesn't have all it has some, so pay attention to some of those, like \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"showMarkers\"), \", for example. I set that to \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"false\"), \" because I think it is distracting, while I set \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"use3dTerrain\"), \" to \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"true\"), \".\"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \"var config = {\\n style: 'mapbox://styles/adamvosburgh/ckzm6ymoc001y15s707imeig0',\\n accessToken: 'pk.eyJ1IjoiYWRhbXZvc2J1cmdoIiwiYSI6ImNrOGE5MDhudzAzcHozbW82cTRnY201ZWEifQ.SyIq-l5sw9Ew6mGRLgfp1w',\\n showMarkers: false,\\n markerColor: '#3FB1CE',\\n theme: 'light',\\n use3dTerrain: true,\\n title: 'NYC Street Trees',\\n subtitle: 'A Tale of Many Trees',\\n byline: 'By Adam Vosburgh',\\n footer: 'Source: source citations, etc.',\\n\")), mdx(\"h4\", null, \"Step 2: Adding Chapters\"), mdx(\"p\", null, mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Chapters\"), \" are the manner by which you tell mapbox what information to show depending on how far a reader has scrolled. Every chapter has an \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"id\"), \" which must be unique, a camera (in the form of location/zoom/pitch,) and an \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"onChapterEnter\"), \" / `onChapterExit' event. Aside from these, there are lots of options that you may or may not need (some of which are included in the template), but those are the core. \"), mdx(\"p\", null, \"Here are my chapters: \"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \" chapters: [\\n {\\n id: 'chapter-1',\\n alignment: 'left',\\n hidden: false,\\n title: 'Trees of the World',\\n image: './img/tree.png',\\n description: \\\"There are a lot of trees in the world. Here is a picture of one of them. Let's look at one place in particular which has a lot of trees, but is not necessarily known for that.\\\",\\n location: {\\n center: [0, 0],\\n zoom: 2,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 0,\\n duration: 3000,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-2',\\n alignment: 'left',\\n hidden: false,\\n title: 'New York City',\\n image: './img/legend-tree.png',\\n description: 'New York City has lots of street trees. In fact, trees are a super important part of NYCs resilient infrastructure, saving millions a year in drainage costs and providing heat relief to blocks in the summer. This dataset shown here is from the 2015 NYC Street Tree Census - where volunteers measure mark and identify trees.',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 15,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n duration: 3000,\\n },\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-3',\\n alignment: 'left',\\n hidden: false,\\n title: 'Not So Many Trees',\\n description: 'In this dataset, there are areas with not so many trees...',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 18.75,\\n pitch: 60,\\n bearing: -60\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-4',\\n alignment: 'right',\\n hidden: false,\\n title: 'Many Trees',\\n description: 'And areas with lots of trees!',\\n location: {\\n center: [-73.96059, 40.80322],\\n zoom: 19,\\n pitch: 60,\\n bearing: 15\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-5',\\n alignment: 'right',\\n hidden: false,\\n title: 'Block Summary',\\n image: './img/legend-block.png',\\n description: 'Summarizing the tree data by block also allows us to view larger trends in tree cover in NYC. Greener blocks have higher average street tree diameters than lighter blocks.',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 15,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 1,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-6',\\n alignment: 'left',\\n hidden: false,\\n title: 'The End',\\n description: 'Tutorial Created for Methods in Spatial Research, Spring 2022.',\\n location: {\\n center: [-73.96089, 40.80827],\\n zoom: 19,\\n pitch: 30,\\n bearing: 115\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: true,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 0,\\n duration: 3000,\\n }\\n ],\\n onChapterExit: []\\n }\\n ]\\n};\\n\")), mdx(\"p\", null, \"Once you have that in and hit save, you should be able to read my story in it's entirety, it should look like \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://adamvosburgh.github.io/webmap_2_storytelling/\"\n }, \"this\"), \". If you still don't see anything, make sure that you hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"publish\"), \" on your map in Mapbox Studio, and then even after that it can take a few minutes to show up.\"), mdx(\"p\", null, \"I'll note a few things going on here:\"), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, \"Layers are added to the map using the Layer Name that we defined in Mapbox Studio. That is all we need to reference the data and its respective styling.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"All of the work is being done by \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"onChapterEnter\"), \", and setting the opactiy for that layer. I personally only use \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"onChapterExit\"), \" if I am switching a dataset out for every chapter. My approach is to define the opacity for a layer everytime that it changes - layers won't change unless you tell them to. \"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"One thing you need to think about is what happens when your reader scrolls back up too - you'll want to plan for that so they don't break the site.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"A really useful tool for setting up the 'camera' is the \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://demos.mapbox.com/location-helper/\"\n }, \"Mapbox Location Helper\"), \".\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"To get the images I added to work, you'll need to add them to your repo. I placed them in a folder called 'img'. Here is the \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://drive.google.com/drive/folders/1y5rgHK8I6ZIICwJhCx4Ei7qADSf9Msdx?usp=sharing\"\n }, \"download link\"), \".\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"While you can add legends directly onto the map in html, the chapter image field is a really useful place to put legends.\")), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"72%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"STORYMAP\",\n \"title\": \"STORYMAP\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/5a190/webmap_2_09.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/772e8/webmap_2_09.png 200w\", \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/e17e5/webmap_2_09.png 400w\", \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/5a190/webmap_2_09.png 800w\", \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/c1b63/webmap_2_09.png 1200w\", \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/7c5b4/webmap_2_09.png 1309w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"h4\", null, \"Step 3: Fine-Tune your Story Map\"), mdx(\"p\", null, \"Now that our map is up and running, we'll want to go back and spend some time styling our various html elements. This can all be done in your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"index.html\"), \", spefically under the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"\\n\\n\\n\\n
    \\n
    \\n\\n\\n\\n\\n\\n\")), mdx(\"p\", null, \"Here we just established all of the overhead for the storymap. Once you are done with your map, if you want to change how any of the constituent parts of it look, like the title or chapter text boxes, you will do so in your index.html.\"), mdx(\"h4\", null, \"Making a config.js\"), mdx(\"p\", null, \"In your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"webmap_2\"), \" directory, make a file called \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"config.js\"), \", and open it in your text editor. Copy all of this code into it, this is from src > config.js.template at the same Mapbox Repo.\"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \"var config = {\\n style: 'mapbox://styles/mapbox/streets-v11',\\n accessToken: 'YOUR_ACCESS_TOKEN',\\n showMarkers: true,\\n markerColor: '#3FB1CE',\\n theme: 'light',\\n use3dTerrain: false,\\n title: 'The Title Text of this Story',\\n subtitle: 'A descriptive and interesting subtitle to draw in the reader',\\n byline: 'By a Digital Storyteller',\\n footer: 'Source: source citations, etc.',\\n chapters: [\\n {\\n id: 'slug-style-id',\\n alignment: 'left',\\n hidden: false,\\n title: 'Display Title',\\n image: './path/to/image/source.png',\\n description: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.',\\n location: {\\n center: [-122.418398, 37.759483],\\n zoom: 8.5,\\n pitch: 60,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n // {\\n // layer: 'layer-name',\\n // opacity: 1,\\n // duration: 5000\\n // }\\n ],\\n onChapterExit: [\\n // {\\n // layer: 'layer-name',\\n // opacity: 0\\n // }\\n ]\\n },\\n {\\n id: 'other-identifier',\\n alignment: 'right',\\n hidden: false,\\n title: 'Second Title',\\n image: './path/to/image/source.png',\\n description: 'Copy these sections to add to your story.',\\n location: {\\n center: [-77.020636, 38.886900],\\n zoom: 8.5,\\n pitch: 60,\\n bearing: -43.2\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [],\\n onChapterExit: []\\n }`\\n ]\\n};\\n\")), mdx(\"p\", null, \"With those two added, you'll want to add your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"accessToken\"), \" where it currently says \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"accessToken: 'YOUR_ACCESS_TOKEN',\"), \". \"), mdx(\"p\", null, \"Once you do that, save and possibly refresh, you're all set up! Your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"map.js\"), \" is no longer of any use to you, and you can feel free to delete it if you would like to keep your repo clean. You should have a template story with some basic animation in your browser, which looks something like this:\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_02.png\",\n \"alt\": \"MapboxTemplate\"\n })), mdx(\"h2\", null, \"Adding your Content\"), mdx(\"h4\", null, \"Creating a Style and Adding it\"), mdx(\"p\", null, \"Next we'll start adding our own content to the map - and by this I mean our datasets. For this we'll go back to \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://studio.mapbox.com/\"\n }, \"Mapbox Studio\"), \".\"), mdx(\"p\", null, \"In Mapbox Studio, click \\\"New Style\\\" and select your style. I'll go with \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Monochrome\"), \" and the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Light\"), \" variation. One you make the map go ahead and give it a name, we'll only need one for the whole project, so I would name it the same thing, \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"webmap_2_storytelling\"), \".\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_03.png\",\n \"alt\": \"MbStudioStyle\"\n })), mdx(\"p\", null, \"Now that we have our base style, let's go ahead and add it to our storymap. On the top right, click \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Publish\"), \", click through that menu, and then click the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Share\"), \" button immediately to it's left. There you can copy the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style URL\"), \" for your map, and then put it in your config.js.\"), mdx(\"p\", null, \"Now, any style changes that you make on your mapbox studio map will show in your storymap. Take note of the menus description of the difference between \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"draft\"), \" and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"production\"), \" share urls - if you don't see change reflected right away on your map, that may be why. If you haven't done so yet, copy over your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Access Token\"), \" too. This should be the same one as you made earlier. \"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_04.png\",\n \"alt\": \"StyleUrl\"\n })), mdx(\"h4\", null, \"Adding and Styling data in Mapbox Studio\"), mdx(\"p\", null, \"Let's add the data we used in the previous tutorial. Tab over to the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Layers\"), \" menu on the left-hand toolbox, and hit the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"plus\"), \" icon. In the next menu hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Source\"), \" and then \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Upload Data\"), \". Upload our \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"blocks_joined_trees_um.gejson\"), \" dataset.\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_05.png\",\n \"alt\": \"TilesetID\"\n })), mdx(\"p\", null, \"You should see the dataset being uploading in the bottom right-hand corner. Once it is done, enter the url under \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Add Source by ID\"), \", or by searching for it under \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Your Sources.\"), \" If it doesn't work or you can't find it, give it a second until it is done processing. If you pan over to NYC, you should see the footprint of your dataset there.\"), mdx(\"p\", null, \"Once your dataset is added as a layer, click back onto the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style\"), \" menu for that layer, and click Color. Select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style Across Data Range\"), \" in the menu, and then a pop-up will ask which variable in the data range, select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"avg_diamet\"), \", or however you have the variable named. \"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_06.png\",\n \"alt\": \"DataRange\"\n })), mdx(\"p\", null, \"Now, in a very similar fashion to QGIS, we will style the data as a gradient from small to large average radius per block. Select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"+ Add another stop\"), \" until we have five - you'll notice that the radius will already be determined based on the number of stops and the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"linear\"), \" rate of change we have selected above. Now that we have those, let's select our colors. I will use \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://colorbrewer2.org/#type=sequential&scheme=BuGn&n=5\"\n }, \"ColorBrewer2\"), \" again.\"), mdx(\"p\", null, \"After we have our stops and colors added, lets drag our layer down so it is only above the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Land, water & sky\"), \" layers, so the other map data will be on top of the blocks. Lastly, you may notice that there are some black polygons left, if you remember in the last tutorial, we filtered these out by catching them with a \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"null\"), \" filter. However (to my knowledge) there is not a way of doing this in Mapbox Studio.\\nWhile it will work for now, this means that for your own projects, you should filter out the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"null\"), \" values when in QGIS before exporting, so you don't have to deal with that styling issue here.\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_07.png\",\n \"alt\": \"BLOCKSTYLE\"\n })), mdx(\"p\", null, \"Now the Layer is added and ready to use. Lastly let's rename it so that it will be easy to reference in the storymap, I'm renaming it back to the dataset name, or \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"blocks-joined-trees-um\"), \".\"), mdx(\"h4\", null, \"Adding and Styling Another dataset\"), mdx(\"p\", null, \"Repeat the steps above but for your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2015_Street_Tree_Census_subset_um.geojson\"), \" dataset. Instead of choosing \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style across data range\"), \" for color, we will select a single color and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style across data range\"), \" for \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Radius\"), \", and use the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"tree_dbh\"), \" variable.\"), mdx(\"p\", null, \"This time, the default values mapbox will give us when adding stops will be way too large, on account of an outlier in the dataset. Reference your QGIS project for good stops, for me that was \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2.615\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"6.444\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"9.379\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"15.036,\"), \" and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"26.000\"), \". For my \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"size\"), \" I used 1 to 5 px.\"), mdx(\"p\", null, \"Lastly, rename the layer so that it is easy to type, I did \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2015-street-tree-census-subset\"), \", and move the layer so that it is below labels but above road geometries.\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_08.png\",\n \"alt\": \"TREESTYLE\"\n })), mdx(\"p\", null, \"Make sure to hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Publish\"), \" after you're finished with that. Okay, we're done with Mapbox Studio! Back to our text editor. \"), mdx(\"h2\", null, \"Making a storymap\"), mdx(\"h4\", null, \"Step 1: Finding a Story\"), mdx(\"p\", null, \"This is probably the hardest part, and unfortunately not one that is possible for me to complete in the tutorial. For demo purposes, I'll tell a story about trees in uptown nyc. There are a lot of trees all over the world, so I think I'll start out at global scale, zoom in, and then turn on data layers one at a time. (Please make a story better than this.)\"), mdx(\"p\", null, \"Now that I have my title, I'll start by editing the titles and bylines. In my \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"config.js\"), \" this is everything above \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"chapters\"), \", which we'll get to next. This is also where global settings for the story are defined and while this template doesn't have all it has some, so pay attention to some of those, like \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"showMarkers\"), \", for example. I set that to \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"false\"), \" because I think it is distracting, while I set \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"use3dTerrain\"), \" to \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"true\"), \".\"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \"var config = {\\n style: 'mapbox://styles/adamvosburgh/ckzm6ymoc001y15s707imeig0',\\n accessToken: 'pk.eyJ1IjoiYWRhbXZvc2J1cmdoIiwiYSI6ImNrOGE5MDhudzAzcHozbW82cTRnY201ZWEifQ.SyIq-l5sw9Ew6mGRLgfp1w',\\n showMarkers: false,\\n markerColor: '#3FB1CE',\\n theme: 'light',\\n use3dTerrain: true,\\n title: 'NYC Street Trees',\\n subtitle: 'A Tale of Many Trees',\\n byline: 'By Adam Vosburgh',\\n footer: 'Source: source citations, etc.',\\n\")), mdx(\"h4\", null, \"Step 2: Adding Chapters\"), mdx(\"p\", null, mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Chapters\"), \" are the manner by which you tell mapbox what information to show depending on how far a reader has scrolled. Every chapter has an \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"id\"), \" which must be unique, a camera (in the form of location/zoom/pitch,) and an \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"onChapterEnter\"), \" / `onChapterExit' event. Aside from these, there are lots of options that you may or may not need (some of which are included in the template), but those are the core. \"), mdx(\"p\", null, \"Here are my chapters: \"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \" chapters: [\\n {\\n id: 'chapter-1',\\n alignment: 'left',\\n hidden: false,\\n title: 'Trees of the World',\\n image: './img/tree.png',\\n description: \\\"There are a lot of trees in the world. Here is a picture of one of them. Let's look at one place in particular which has a lot of trees, but is not necessarily known for that.\\\",\\n location: {\\n center: [0, 0],\\n zoom: 2,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 0,\\n duration: 3000,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-2',\\n alignment: 'left',\\n hidden: false,\\n title: 'New York City',\\n image: './img/legend-tree.png',\\n description: 'New York City has lots of street trees. In fact, trees are a super important part of NYCs resilient infrastructure, saving millions a year in drainage costs and providing heat relief to blocks in the summer. This dataset shown here is from the 2015 NYC Street Tree Census - where volunteers measure mark and identify trees.',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 15,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n duration: 3000,\\n },\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-3',\\n alignment: 'left',\\n hidden: false,\\n title: 'Not So Many Trees',\\n description: 'In this dataset, there are areas with not so many trees...',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 18.75,\\n pitch: 60,\\n bearing: -60\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-4',\\n alignment: 'right',\\n hidden: false,\\n title: 'Many Trees',\\n description: 'And areas with lots of trees!',\\n location: {\\n center: [-73.96059, 40.80322],\\n zoom: 19,\\n pitch: 60,\\n bearing: 15\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-5',\\n alignment: 'right',\\n hidden: false,\\n title: 'Block Summary',\\n image: './img/legend-block.png',\\n description: 'Summarizing the tree data by block also allows us to view larger trends in tree cover in NYC. Greener blocks have higher average street tree diameters than lighter blocks.',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 15,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 1,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-6',\\n alignment: 'left',\\n hidden: false,\\n title: 'The End',\\n description: 'Tutorial Created for Methods in Spatial Research, Spring 2022.',\\n location: {\\n center: [-73.96089, 40.80827],\\n zoom: 19,\\n pitch: 30,\\n bearing: 115\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: true,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 0,\\n duration: 3000,\\n }\\n ],\\n onChapterExit: []\\n }\\n ]\\n};\\n\")), mdx(\"p\", null, \"Once you have that in and hit save, you should be able to read my story in it's entirety, it should look like \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://adamvosburgh.github.io/webmap_2_storytelling/\"\n }, \"this\"), \". If you still don't see anything, make sure that you hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"publish\"), \" on your map in Mapbox Studio, and then even after that it can take a few minutes to show up.\"), mdx(\"p\", null, \"I'll note a few things going on here:\"), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, \"Layers are added to the map using the Layer Name that we defined in Mapbox Studio. That is all we need to reference the data and its respective styling.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"All of the work is being done by \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"onChapterEnter\"), \", and setting the opactiy for that layer. I personally only use \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"onChapterExit\"), \" if I am switching a dataset out for every chapter. My approach is to define the opacity for a layer everytime that it changes - layers won't change unless you tell them to. \"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"One thing you need to think about is what happens when your reader scrolls back up too - you'll want to plan for that so they don't break the site.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"A really useful tool for setting up the 'camera' is the \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://demos.mapbox.com/location-helper/\"\n }, \"Mapbox Location Helper\"), \".\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"To get the images I added to work, you'll need to add them to your repo. I placed them in a folder called 'img'. Here is the \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://drive.google.com/drive/folders/1y5rgHK8I6ZIICwJhCx4Ei7qADSf9Msdx?usp=sharing\"\n }, \"download link\"), \".\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"While you can add legends directly onto the map in html, the chapter image field is a really useful place to put legends.\")), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_09.png\",\n \"alt\": \"STORYMAP\"\n })), mdx(\"h4\", null, \"Step 3: Fine-Tune your Story Map\"), mdx(\"p\", null, \"Now that our map is up and running, we'll want to go back and spend some time styling our various html elements. This can all be done in your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"index.html\"), \", spefically under the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"\\n\\n\\n\\n
    \\n
    \\n\\n\\n\\n\\n\\n\")), mdx(\"p\", null, \"Here we just established all of the overhead for the storymap. Once you are done with your map, if you want to change how any of the constituent parts of it look, like the title or chapter text boxes, you will do so in your index.html.\"), mdx(\"h4\", null, \"Making a config.js\"), mdx(\"p\", null, \"In your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"webmap_2\"), \" directory, make a file called \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"config.js\"), \", and open it in your text editor. Copy all of this code into it, this is from src > config.js.template at the same Mapbox Repo.\"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \"var config = {\\n style: 'mapbox://styles/mapbox/streets-v11',\\n accessToken: 'YOUR_ACCESS_TOKEN',\\n showMarkers: true,\\n markerColor: '#3FB1CE',\\n theme: 'light',\\n use3dTerrain: false,\\n title: 'The Title Text of this Story',\\n subtitle: 'A descriptive and interesting subtitle to draw in the reader',\\n byline: 'By a Digital Storyteller',\\n footer: 'Source: source citations, etc.',\\n chapters: [\\n {\\n id: 'slug-style-id',\\n alignment: 'left',\\n hidden: false,\\n title: 'Display Title',\\n image: './path/to/image/source.png',\\n description: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.',\\n location: {\\n center: [-122.418398, 37.759483],\\n zoom: 8.5,\\n pitch: 60,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n // {\\n // layer: 'layer-name',\\n // opacity: 1,\\n // duration: 5000\\n // }\\n ],\\n onChapterExit: [\\n // {\\n // layer: 'layer-name',\\n // opacity: 0\\n // }\\n ]\\n },\\n {\\n id: 'other-identifier',\\n alignment: 'right',\\n hidden: false,\\n title: 'Second Title',\\n image: './path/to/image/source.png',\\n description: 'Copy these sections to add to your story.',\\n location: {\\n center: [-77.020636, 38.886900],\\n zoom: 8.5,\\n pitch: 60,\\n bearing: -43.2\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [],\\n onChapterExit: []\\n }`\\n ]\\n};\\n\")), mdx(\"p\", null, \"With those two added, you'll want to add your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"accessToken\"), \" where it currently says \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"accessToken: 'YOUR_ACCESS_TOKEN',\"), \". \"), mdx(\"p\", null, \"Once you do that, save and possibly refresh, you're all set up! Your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"map.js\"), \" is no longer of any use to you, and you can feel free to delete it if you would like to keep your repo clean. You should have a template story with some basic animation in your browser, which looks something like this:\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"90.49999999999999%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"MapboxTemplate\",\n \"title\": \"MapboxTemplate\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/5a190/webmap_2_02.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/772e8/webmap_2_02.png 200w\", \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/e17e5/webmap_2_02.png 400w\", \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/5a190/webmap_2_02.png 800w\", \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/c1b63/webmap_2_02.png 1200w\", \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/7a4b2/webmap_2_02.png 1240w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"h2\", null, \"Adding your Content\"), mdx(\"h4\", null, \"Creating a Style and Adding it\"), mdx(\"p\", null, \"Next we'll start adding our own content to the map - and by this I mean our datasets. For this we'll go back to \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://studio.mapbox.com/\"\n }, \"Mapbox Studio\"), \".\"), mdx(\"p\", null, \"In Mapbox Studio, click \\\"New Style\\\" and select your style. I'll go with \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Monochrome\"), \" and the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Light\"), \" variation. One you make the map go ahead and give it a name, we'll only need one for the whole project, so I would name it the same thing, \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"webmap_2_storytelling\"), \".\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"78.5%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"MbStudioStyle\",\n \"title\": \"MbStudioStyle\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/5a190/webmap_2_03.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/772e8/webmap_2_03.png 200w\", \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/e17e5/webmap_2_03.png 400w\", \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/5a190/webmap_2_03.png 800w\", \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/c1b63/webmap_2_03.png 1200w\", \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/d9b5d/webmap_2_03.png 1224w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"Now that we have our base style, let's go ahead and add it to our storymap. On the top right, click \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Publish\"), \", click through that menu, and then click the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Share\"), \" button immediately to it's left. There you can copy the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style URL\"), \" for your map, and then put it in your config.js.\"), mdx(\"p\", null, \"Now, any style changes that you make on your mapbox studio map will show in your storymap. Take note of the menus description of the difference between \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"draft\"), \" and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"production\"), \" share urls - if you don't see change reflected right away on your map, that may be why. If you haven't done so yet, copy over your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Access Token\"), \" too. This should be the same one as you made earlier. \"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"63%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"StyleUrl\",\n \"title\": \"StyleUrl\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/5a190/webmap_2_04.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/772e8/webmap_2_04.png 200w\", \"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/e17e5/webmap_2_04.png 400w\", \"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/5a190/webmap_2_04.png 800w\", \"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/1132d/webmap_2_04.png 1158w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"h4\", null, \"Adding and Styling data in Mapbox Studio\"), mdx(\"p\", null, \"Let's add the data we used in the previous tutorial. Tab over to the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Layers\"), \" menu on the left-hand toolbox, and hit the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"plus\"), \" icon. In the next menu hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Source\"), \" and then \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Upload Data\"), \". Upload our \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"blocks_joined_trees_um.gejson\"), \" dataset.\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"37.5%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"TilesetID\",\n \"title\": \"TilesetID\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/5a190/webmap_2_05.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/772e8/webmap_2_05.png 200w\", \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/e17e5/webmap_2_05.png 400w\", \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/5a190/webmap_2_05.png 800w\", \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/c1b63/webmap_2_05.png 1200w\", \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/11a8f/webmap_2_05.png 1272w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"You should see the dataset being uploading in the bottom right-hand corner. Once it is done, enter the url under \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Add Source by ID\"), \", or by searching for it under \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Your Sources.\"), \" If it doesn't work or you can't find it, give it a second until it is done processing. If you pan over to NYC, you should see the footprint of your dataset there.\"), mdx(\"p\", null, \"Once your dataset is added as a layer, click back onto the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style\"), \" menu for that layer, and click Color. Select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style Across Data Range\"), \" in the menu, and then a pop-up will ask which variable in the data range, select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"avg_diamet\"), \", or however you have the variable named. \"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"77%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"DataRange\",\n \"title\": \"DataRange\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/5a190/webmap_2_06.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/772e8/webmap_2_06.png 200w\", \"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/e17e5/webmap_2_06.png 400w\", \"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/5a190/webmap_2_06.png 800w\", \"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/90712/webmap_2_06.png 882w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"Now, in a very similar fashion to QGIS, we will style the data as a gradient from small to large average radius per block. Select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"+ Add another stop\"), \" until we have five - you'll notice that the radius will already be determined based on the number of stops and the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"linear\"), \" rate of change we have selected above. Now that we have those, let's select our colors. I will use \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://colorbrewer2.org/#type=sequential&scheme=BuGn&n=5\"\n }, \"ColorBrewer2\"), \" again.\"), mdx(\"p\", null, \"After we have our stops and colors added, lets drag our layer down so it is only above the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Land, water & sky\"), \" layers, so the other map data will be on top of the blocks. Lastly, you may notice that there are some black polygons left, if you remember in the last tutorial, we filtered these out by catching them with a \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"null\"), \" filter. However (to my knowledge) there is not a way of doing this in Mapbox Studio.\\nWhile it will work for now, this means that for your own projects, you should filter out the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"null\"), \" values when in QGIS before exporting, so you don't have to deal with that styling issue here.\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"64.99999999999999%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"BLOCKSTYLE\",\n \"title\": \"BLOCKSTYLE\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/5a190/webmap_2_07.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/772e8/webmap_2_07.png 200w\", \"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/e17e5/webmap_2_07.png 400w\", \"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/5a190/webmap_2_07.png 800w\", \"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/f4281/webmap_2_07.png 1016w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"Now the Layer is added and ready to use. Lastly let's rename it so that it will be easy to reference in the storymap, I'm renaming it back to the dataset name, or \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"blocks-joined-trees-um\"), \".\"), mdx(\"h4\", null, \"Adding and Styling Another dataset\"), mdx(\"p\", null, \"Repeat the steps above but for your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2015_Street_Tree_Census_subset_um.geojson\"), \" dataset. Instead of choosing \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style across data range\"), \" for color, we will select a single color and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style across data range\"), \" for \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Radius\"), \", and use the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"tree_dbh\"), \" variable.\"), mdx(\"p\", null, \"This time, the default values mapbox will give us when adding stops will be way too large, on account of an outlier in the dataset. Reference your QGIS project for good stops, for me that was \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2.615\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"6.444\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"9.379\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"15.036,\"), \" and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"26.000\"), \". For my \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"size\"), \" I used 1 to 5 px.\"), mdx(\"p\", null, \"Lastly, rename the layer so that it is easy to type, I did \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2015-street-tree-census-subset\"), \", and move the layer so that it is below labels but above road geometries.\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"77%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"TREESTYLE\",\n \"title\": \"TREESTYLE\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/5a190/webmap_2_08.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/772e8/webmap_2_08.png 200w\", \"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/e17e5/webmap_2_08.png 400w\", \"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/5a190/webmap_2_08.png 800w\", \"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/966a0/webmap_2_08.png 944w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"Make sure to hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Publish\"), \" after you're finished with that. Okay, we're done with Mapbox Studio! Back to our text editor. \"), mdx(\"h2\", null, \"Making a storymap\"), mdx(\"h4\", null, \"Step 1: Finding a Story\"), mdx(\"p\", null, \"This is probably the hardest part, and unfortunately not one that is possible for me to complete in the tutorial. For demo purposes, I'll tell a story about trees in uptown nyc. There are a lot of trees all over the world, so I think I'll start out at global scale, zoom in, and then turn on data layers one at a time. (Please make a story better than this.)\"), mdx(\"p\", null, \"Now that I have my title, I'll start by editing the titles and bylines. In my \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"config.js\"), \" this is everything above \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"chapters\"), \", which we'll get to next. This is also where global settings for the story are defined and while this template doesn't have all it has some, so pay attention to some of those, like \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"showMarkers\"), \", for example. I set that to \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"false\"), \" because I think it is distracting, while I set \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"use3dTerrain\"), \" to \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"true\"), \".\"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \"var config = {\\n style: 'mapbox://styles/adamvosburgh/ckzm6ymoc001y15s707imeig0',\\n accessToken: 'pk.eyJ1IjoiYWRhbXZvc2J1cmdoIiwiYSI6ImNrOGE5MDhudzAzcHozbW82cTRnY201ZWEifQ.SyIq-l5sw9Ew6mGRLgfp1w',\\n showMarkers: false,\\n markerColor: '#3FB1CE',\\n theme: 'light',\\n use3dTerrain: true,\\n title: 'NYC Street Trees',\\n subtitle: 'A Tale of Many Trees',\\n byline: 'By Adam Vosburgh',\\n footer: 'Source: source citations, etc.',\\n\")), mdx(\"h4\", null, \"Step 2: Adding Chapters\"), mdx(\"p\", null, mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Chapters\"), \" are the manner by which you tell mapbox what information to show depending on how far a reader has scrolled. Every chapter has an \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"id\"), \" which must be unique, a camera (in the form of location/zoom/pitch,) and an \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"onChapterEnter\"), \" / `onChapterExit' event. Aside from these, there are lots of options that you may or may not need (some of which are included in the template), but those are the core. \"), mdx(\"p\", null, \"Here are my chapters: \"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \" chapters: [\\n {\\n id: 'chapter-1',\\n alignment: 'left',\\n hidden: false,\\n title: 'Trees of the World',\\n image: './img/tree.png',\\n description: \\\"There are a lot of trees in the world. Here is a picture of one of them. Let's look at one place in particular which has a lot of trees, but is not necessarily known for that.\\\",\\n location: {\\n center: [0, 0],\\n zoom: 2,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 0,\\n duration: 3000,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-2',\\n alignment: 'left',\\n hidden: false,\\n title: 'New York City',\\n image: './img/legend-tree.png',\\n description: 'New York City has lots of street trees. In fact, trees are a super important part of NYCs resilient infrastructure, saving millions a year in drainage costs and providing heat relief to blocks in the summer. This dataset shown here is from the 2015 NYC Street Tree Census - where volunteers measure mark and identify trees.',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 15,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n duration: 3000,\\n },\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-3',\\n alignment: 'left',\\n hidden: false,\\n title: 'Not So Many Trees',\\n description: 'In this dataset, there are areas with not so many trees...',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 18.75,\\n pitch: 60,\\n bearing: -60\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-4',\\n alignment: 'right',\\n hidden: false,\\n title: 'Many Trees',\\n description: 'And areas with lots of trees!',\\n location: {\\n center: [-73.96059, 40.80322],\\n zoom: 19,\\n pitch: 60,\\n bearing: 15\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-5',\\n alignment: 'right',\\n hidden: false,\\n title: 'Block Summary',\\n image: './img/legend-block.png',\\n description: 'Summarizing the tree data by block also allows us to view larger trends in tree cover in NYC. Greener blocks have higher average street tree diameters than lighter blocks.',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 15,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 1,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-6',\\n alignment: 'left',\\n hidden: false,\\n title: 'The End',\\n description: 'Tutorial Created for Methods in Spatial Research, Spring 2022.',\\n location: {\\n center: [-73.96089, 40.80827],\\n zoom: 19,\\n pitch: 30,\\n bearing: 115\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: true,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 0,\\n duration: 3000,\\n }\\n ],\\n onChapterExit: []\\n }\\n ]\\n};\\n\")), mdx(\"p\", null, \"Once you have that in and hit save, you should be able to read my story in it's entirety, it should look like \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://adamvosburgh.github.io/webmap_2_storytelling/\"\n }, \"this\"), \". If you still don't see anything, make sure that you hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"publish\"), \" on your map in Mapbox Studio, and then even after that it can take a few minutes to show up.\"), mdx(\"p\", null, \"I'll note a few things going on here:\"), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, \"Layers are added to the map using the Layer Name that we defined in Mapbox Studio. That is all we need to reference the data and its respective styling.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"All of the work is being done by \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"onChapterEnter\"), \", and setting the opactiy for that layer. I personally only use \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"onChapterExit\"), \" if I am switching a dataset out for every chapter. My approach is to define the opacity for a layer everytime that it changes - layers won't change unless you tell them to. \"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"One thing you need to think about is what happens when your reader scrolls back up too - you'll want to plan for that so they don't break the site.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"A really useful tool for setting up the 'camera' is the \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://demos.mapbox.com/location-helper/\"\n }, \"Mapbox Location Helper\"), \".\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"To get the images I added to work, you'll need to add them to your repo. I placed them in a folder called 'img'. Here is the \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://drive.google.com/drive/folders/1y5rgHK8I6ZIICwJhCx4Ei7qADSf9Msdx?usp=sharing\"\n }, \"download link\"), \".\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"While you can add legends directly onto the map in html, the chapter image field is a really useful place to put legends.\")), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"72%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"STORYMAP\",\n \"title\": \"STORYMAP\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/5a190/webmap_2_09.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/772e8/webmap_2_09.png 200w\", \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/e17e5/webmap_2_09.png 400w\", \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/5a190/webmap_2_09.png 800w\", \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/c1b63/webmap_2_09.png 1200w\", \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/7c5b4/webmap_2_09.png 1309w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"h4\", null, \"Step 3: Fine-Tune your Story Map\"), mdx(\"p\", null, \"Now that our map is up and running, we'll want to go back and spend some time styling our various html elements. This can all be done in your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"index.html\"), \", spefically under the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"\\n\\n\\n\\n
    \\n
    \\n\\n\\n\\n\\n\\n\")), mdx(\"p\", null, \"Here we just established all of the overhead for the storymap. Once you are done with your map, if you want to change how any of the constituent parts of it look, like the title or chapter text boxes, you will do so in your index.html.\"), mdx(\"h4\", null, \"Making a config.js\"), mdx(\"p\", null, \"In your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"webmap_2\"), \" directory, make a file called \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"config.js\"), \", and open it in your text editor. Copy all of this code into it, this is from src > config.js.template at the same Mapbox Repo.\"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \"var config = {\\n style: 'mapbox://styles/mapbox/streets-v11',\\n accessToken: 'YOUR_ACCESS_TOKEN',\\n showMarkers: true,\\n markerColor: '#3FB1CE',\\n theme: 'light',\\n use3dTerrain: false,\\n title: 'The Title Text of this Story',\\n subtitle: 'A descriptive and interesting subtitle to draw in the reader',\\n byline: 'By a Digital Storyteller',\\n footer: 'Source: source citations, etc.',\\n chapters: [\\n {\\n id: 'slug-style-id',\\n alignment: 'left',\\n hidden: false,\\n title: 'Display Title',\\n image: './path/to/image/source.png',\\n description: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.',\\n location: {\\n center: [-122.418398, 37.759483],\\n zoom: 8.5,\\n pitch: 60,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n // {\\n // layer: 'layer-name',\\n // opacity: 1,\\n // duration: 5000\\n // }\\n ],\\n onChapterExit: [\\n // {\\n // layer: 'layer-name',\\n // opacity: 0\\n // }\\n ]\\n },\\n {\\n id: 'other-identifier',\\n alignment: 'right',\\n hidden: false,\\n title: 'Second Title',\\n image: './path/to/image/source.png',\\n description: 'Copy these sections to add to your story.',\\n location: {\\n center: [-77.020636, 38.886900],\\n zoom: 8.5,\\n pitch: 60,\\n bearing: -43.2\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [],\\n onChapterExit: []\\n }`\\n ]\\n};\\n\")), mdx(\"p\", null, \"With those two added, you'll want to add your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"accessToken\"), \" where it currently says \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"accessToken: 'YOUR_ACCESS_TOKEN',\"), \". \"), mdx(\"p\", null, \"Once you do that, save and possibly refresh, you're all set up! Your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"map.js\"), \" is no longer of any use to you, and you can feel free to delete it if you would like to keep your repo clean. You should have a template story with some basic animation in your browser, which looks something like this:\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_02.png\",\n \"alt\": \"MapboxTemplate\"\n })), mdx(\"h2\", null, \"Adding your Content\"), mdx(\"h4\", null, \"Creating a Style and Adding it\"), mdx(\"p\", null, \"Next we'll start adding our own content to the map - and by this I mean our datasets. For this we'll go back to \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://studio.mapbox.com/\"\n }, \"Mapbox Studio\"), \".\"), mdx(\"p\", null, \"In Mapbox Studio, click \\\"New Style\\\" and select your style. I'll go with \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Monochrome\"), \" and the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Light\"), \" variation. One you make the map go ahead and give it a name, we'll only need one for the whole project, so I would name it the same thing, \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"webmap_2_storytelling\"), \".\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_03.png\",\n \"alt\": \"MbStudioStyle\"\n })), mdx(\"p\", null, \"Now that we have our base style, let's go ahead and add it to our storymap. On the top right, click \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Publish\"), \", click through that menu, and then click the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Share\"), \" button immediately to it's left. There you can copy the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style URL\"), \" for your map, and then put it in your config.js.\"), mdx(\"p\", null, \"Now, any style changes that you make on your mapbox studio map will show in your storymap. Take note of the menus description of the difference between \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"draft\"), \" and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"production\"), \" share urls - if you don't see change reflected right away on your map, that may be why. If you haven't done so yet, copy over your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Access Token\"), \" too. This should be the same one as you made earlier. \"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_04.png\",\n \"alt\": \"StyleUrl\"\n })), mdx(\"h4\", null, \"Adding and Styling data in Mapbox Studio\"), mdx(\"p\", null, \"Let's add the data we used in the previous tutorial. Tab over to the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Layers\"), \" menu on the left-hand toolbox, and hit the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"plus\"), \" icon. In the next menu hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Source\"), \" and then \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Upload Data\"), \". Upload our \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"blocks_joined_trees_um.gejson\"), \" dataset.\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_05.png\",\n \"alt\": \"TilesetID\"\n })), mdx(\"p\", null, \"You should see the dataset being uploading in the bottom right-hand corner. Once it is done, enter the url under \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Add Source by ID\"), \", or by searching for it under \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Your Sources.\"), \" If it doesn't work or you can't find it, give it a second until it is done processing. If you pan over to NYC, you should see the footprint of your dataset there.\"), mdx(\"p\", null, \"Once your dataset is added as a layer, click back onto the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style\"), \" menu for that layer, and click Color. Select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style Across Data Range\"), \" in the menu, and then a pop-up will ask which variable in the data range, select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"avg_diamet\"), \", or however you have the variable named. \"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_06.png\",\n \"alt\": \"DataRange\"\n })), mdx(\"p\", null, \"Now, in a very similar fashion to QGIS, we will style the data as a gradient from small to large average radius per block. Select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"+ Add another stop\"), \" until we have five - you'll notice that the radius will already be determined based on the number of stops and the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"linear\"), \" rate of change we have selected above. Now that we have those, let's select our colors. I will use \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://colorbrewer2.org/#type=sequential&scheme=BuGn&n=5\"\n }, \"ColorBrewer2\"), \" again.\"), mdx(\"p\", null, \"After we have our stops and colors added, lets drag our layer down so it is only above the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Land, water & sky\"), \" layers, so the other map data will be on top of the blocks. Lastly, you may notice that there are some black polygons left, if you remember in the last tutorial, we filtered these out by catching them with a \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"null\"), \" filter. However (to my knowledge) there is not a way of doing this in Mapbox Studio.\\nWhile it will work for now, this means that for your own projects, you should filter out the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"null\"), \" values when in QGIS before exporting, so you don't have to deal with that styling issue here.\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_07.png\",\n \"alt\": \"BLOCKSTYLE\"\n })), mdx(\"p\", null, \"Now the Layer is added and ready to use. Lastly let's rename it so that it will be easy to reference in the storymap, I'm renaming it back to the dataset name, or \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"blocks-joined-trees-um\"), \".\"), mdx(\"h4\", null, \"Adding and Styling Another dataset\"), mdx(\"p\", null, \"Repeat the steps above but for your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2015_Street_Tree_Census_subset_um.geojson\"), \" dataset. Instead of choosing \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style across data range\"), \" for color, we will select a single color and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style across data range\"), \" for \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Radius\"), \", and use the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"tree_dbh\"), \" variable.\"), mdx(\"p\", null, \"This time, the default values mapbox will give us when adding stops will be way too large, on account of an outlier in the dataset. Reference your QGIS project for good stops, for me that was \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2.615\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"6.444\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"9.379\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"15.036,\"), \" and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"26.000\"), \". For my \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"size\"), \" I used 1 to 5 px.\"), mdx(\"p\", null, \"Lastly, rename the layer so that it is easy to type, I did \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2015-street-tree-census-subset\"), \", and move the layer so that it is below labels but above road geometries.\"), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_08.png\",\n \"alt\": \"TREESTYLE\"\n })), mdx(\"p\", null, \"Make sure to hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Publish\"), \" after you're finished with that. Okay, we're done with Mapbox Studio! Back to our text editor. \"), mdx(\"h2\", null, \"Making a storymap\"), mdx(\"h4\", null, \"Step 1: Finding a Story\"), mdx(\"p\", null, \"This is probably the hardest part, and unfortunately not one that is possible for me to complete in the tutorial. For demo purposes, I'll tell a story about trees in uptown nyc. There are a lot of trees all over the world, so I think I'll start out at global scale, zoom in, and then turn on data layers one at a time. (Please make a story better than this.)\"), mdx(\"p\", null, \"Now that I have my title, I'll start by editing the titles and bylines. In my \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"config.js\"), \" this is everything above \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"chapters\"), \", which we'll get to next. This is also where global settings for the story are defined and while this template doesn't have all it has some, so pay attention to some of those, like \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"showMarkers\"), \", for example. I set that to \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"false\"), \" because I think it is distracting, while I set \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"use3dTerrain\"), \" to \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"true\"), \".\"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \"var config = {\\n style: 'mapbox://styles/adamvosburgh/ckzm6ymoc001y15s707imeig0',\\n accessToken: 'pk.eyJ1IjoiYWRhbXZvc2J1cmdoIiwiYSI6ImNrOGE5MDhudzAzcHozbW82cTRnY201ZWEifQ.SyIq-l5sw9Ew6mGRLgfp1w',\\n showMarkers: false,\\n markerColor: '#3FB1CE',\\n theme: 'light',\\n use3dTerrain: true,\\n title: 'NYC Street Trees',\\n subtitle: 'A Tale of Many Trees',\\n byline: 'By Adam Vosburgh',\\n footer: 'Source: source citations, etc.',\\n\")), mdx(\"h4\", null, \"Step 2: Adding Chapters\"), mdx(\"p\", null, mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Chapters\"), \" are the manner by which you tell mapbox what information to show depending on how far a reader has scrolled. Every chapter has an \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"id\"), \" which must be unique, a camera (in the form of location/zoom/pitch,) and an \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"onChapterEnter\"), \" / `onChapterExit' event. Aside from these, there are lots of options that you may or may not need (some of which are included in the template), but those are the core. \"), mdx(\"p\", null, \"Here are my chapters: \"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \" chapters: [\\n {\\n id: 'chapter-1',\\n alignment: 'left',\\n hidden: false,\\n title: 'Trees of the World',\\n image: './img/tree.png',\\n description: \\\"There are a lot of trees in the world. Here is a picture of one of them. Let's look at one place in particular which has a lot of trees, but is not necessarily known for that.\\\",\\n location: {\\n center: [0, 0],\\n zoom: 2,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 0,\\n duration: 3000,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-2',\\n alignment: 'left',\\n hidden: false,\\n title: 'New York City',\\n image: './img/legend-tree.png',\\n description: 'New York City has lots of street trees. In fact, trees are a super important part of NYCs resilient infrastructure, saving millions a year in drainage costs and providing heat relief to blocks in the summer. This dataset shown here is from the 2015 NYC Street Tree Census - where volunteers measure mark and identify trees.',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 15,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n duration: 3000,\\n },\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-3',\\n alignment: 'left',\\n hidden: false,\\n title: 'Not So Many Trees',\\n description: 'In this dataset, there are areas with not so many trees...',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 18.75,\\n pitch: 60,\\n bearing: -60\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-4',\\n alignment: 'right',\\n hidden: false,\\n title: 'Many Trees',\\n description: 'And areas with lots of trees!',\\n location: {\\n center: [-73.96059, 40.80322],\\n zoom: 19,\\n pitch: 60,\\n bearing: 15\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-5',\\n alignment: 'right',\\n hidden: false,\\n title: 'Block Summary',\\n image: './img/legend-block.png',\\n description: 'Summarizing the tree data by block also allows us to view larger trends in tree cover in NYC. Greener blocks have higher average street tree diameters than lighter blocks.',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 15,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 1,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-6',\\n alignment: 'left',\\n hidden: false,\\n title: 'The End',\\n description: 'Tutorial Created for Methods in Spatial Research, Spring 2022.',\\n location: {\\n center: [-73.96089, 40.80827],\\n zoom: 19,\\n pitch: 30,\\n bearing: 115\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: true,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 0,\\n duration: 3000,\\n }\\n ],\\n onChapterExit: []\\n }\\n ]\\n};\\n\")), mdx(\"p\", null, \"Once you have that in and hit save, you should be able to read my story in it's entirety, it should look like \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://adamvosburgh.github.io/webmap_2_storytelling/\"\n }, \"this\"), \". If you still don't see anything, make sure that you hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"publish\"), \" on your map in Mapbox Studio, and then even after that it can take a few minutes to show up.\"), mdx(\"p\", null, \"I'll note a few things going on here:\"), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, \"Layers are added to the map using the Layer Name that we defined in Mapbox Studio. That is all we need to reference the data and its respective styling.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"All of the work is being done by \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"onChapterEnter\"), \", and setting the opactiy for that layer. I personally only use \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"onChapterExit\"), \" if I am switching a dataset out for every chapter. My approach is to define the opacity for a layer everytime that it changes - layers won't change unless you tell them to. \"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"One thing you need to think about is what happens when your reader scrolls back up too - you'll want to plan for that so they don't break the site.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"A really useful tool for setting up the 'camera' is the \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://demos.mapbox.com/location-helper/\"\n }, \"Mapbox Location Helper\"), \".\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"To get the images I added to work, you'll need to add them to your repo. I placed them in a folder called 'img'. Here is the \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://drive.google.com/drive/folders/1y5rgHK8I6ZIICwJhCx4Ei7qADSf9Msdx?usp=sharing\"\n }, \"download link\"), \".\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"While you can add legends directly onto the map in html, the chapter image field is a really useful place to put legends.\")), mdx(\"p\", null, mdx(\"img\", {\n parentName: \"p\",\n \"src\": \"images/158/webmap_2_09.png\",\n \"alt\": \"STORYMAP\"\n })), mdx(\"h4\", null, \"Step 3: Fine-Tune your Story Map\"), mdx(\"p\", null, \"Now that our map is up and running, we'll want to go back and spend some time styling our various html elements. This can all be done in your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"index.html\"), \", spefically under the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"\\n\\n\\n\\n
    \\n
    \\n\\n\\n\\n\\n\\n\")), mdx(\"p\", null, \"Here we just established all of the overhead for the storymap. Once you are done with your map, if you want to change how any of the constituent parts of it look, like the title or chapter text boxes, you will do so in your index.html.\"), mdx(\"h4\", null, \"Making a config.js\"), mdx(\"p\", null, \"In your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"webmap_2\"), \" directory, make a file called \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"config.js\"), \", and open it in your text editor. Copy all of this code into it, this is from src > config.js.template at the same Mapbox Repo.\"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \"var config = {\\n style: 'mapbox://styles/mapbox/streets-v11',\\n accessToken: 'YOUR_ACCESS_TOKEN',\\n showMarkers: true,\\n markerColor: '#3FB1CE',\\n theme: 'light',\\n use3dTerrain: false,\\n title: 'The Title Text of this Story',\\n subtitle: 'A descriptive and interesting subtitle to draw in the reader',\\n byline: 'By a Digital Storyteller',\\n footer: 'Source: source citations, etc.',\\n chapters: [\\n {\\n id: 'slug-style-id',\\n alignment: 'left',\\n hidden: false,\\n title: 'Display Title',\\n image: './path/to/image/source.png',\\n description: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.',\\n location: {\\n center: [-122.418398, 37.759483],\\n zoom: 8.5,\\n pitch: 60,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n // {\\n // layer: 'layer-name',\\n // opacity: 1,\\n // duration: 5000\\n // }\\n ],\\n onChapterExit: [\\n // {\\n // layer: 'layer-name',\\n // opacity: 0\\n // }\\n ]\\n },\\n {\\n id: 'other-identifier',\\n alignment: 'right',\\n hidden: false,\\n title: 'Second Title',\\n image: './path/to/image/source.png',\\n description: 'Copy these sections to add to your story.',\\n location: {\\n center: [-77.020636, 38.886900],\\n zoom: 8.5,\\n pitch: 60,\\n bearing: -43.2\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [],\\n onChapterExit: []\\n }`\\n ]\\n};\\n\")), mdx(\"p\", null, \"With those two added, you'll want to add your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"accessToken\"), \" where it currently says \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"accessToken: 'YOUR_ACCESS_TOKEN',\"), \". \"), mdx(\"p\", null, \"Once you do that, save and possibly refresh, you're all set up! Your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"map.js\"), \" is no longer of any use to you, and you can feel free to delete it if you would like to keep your repo clean. You should have a template story with some basic animation in your browser, which looks something like this:\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"90.49999999999999%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"MapboxTemplate\",\n \"title\": \"MapboxTemplate\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/5a190/webmap_2_02.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/772e8/webmap_2_02.png 200w\", \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/e17e5/webmap_2_02.png 400w\", \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/5a190/webmap_2_02.png 800w\", \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/c1b63/webmap_2_02.png 1200w\", \"/methods-in-spatial-research-sp2024/static/efdb65e9be21a3a7bd8c1b435c8fb28e/7a4b2/webmap_2_02.png 1240w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"h2\", null, \"Adding your Content\"), mdx(\"h4\", null, \"Creating a Style and Adding it\"), mdx(\"p\", null, \"Next we'll start adding our own content to the map - and by this I mean our datasets. For this we'll go back to \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://studio.mapbox.com/\"\n }, \"Mapbox Studio\"), \".\"), mdx(\"p\", null, \"In Mapbox Studio, click \\\"New Style\\\" and select your style. I'll go with \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Monochrome\"), \" and the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Light\"), \" variation. One you make the map go ahead and give it a name, we'll only need one for the whole project, so I would name it the same thing, \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"webmap_2_storytelling\"), \".\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"78.5%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"MbStudioStyle\",\n \"title\": \"MbStudioStyle\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/5a190/webmap_2_03.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/772e8/webmap_2_03.png 200w\", \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/e17e5/webmap_2_03.png 400w\", \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/5a190/webmap_2_03.png 800w\", \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/c1b63/webmap_2_03.png 1200w\", \"/methods-in-spatial-research-sp2024/static/309cf21cbb941b0e0216b5ad30696e99/d9b5d/webmap_2_03.png 1224w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"Now that we have our base style, let's go ahead and add it to our storymap. On the top right, click \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Publish\"), \", click through that menu, and then click the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Share\"), \" button immediately to it's left. There you can copy the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style URL\"), \" for your map, and then put it in your config.js.\"), mdx(\"p\", null, \"Now, any style changes that you make on your mapbox studio map will show in your storymap. Take note of the menus description of the difference between \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"draft\"), \" and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"production\"), \" share urls - if you don't see change reflected right away on your map, that may be why. If you haven't done so yet, copy over your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Access Token\"), \" too. This should be the same one as you made earlier. \"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"63%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"StyleUrl\",\n \"title\": \"StyleUrl\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/5a190/webmap_2_04.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/772e8/webmap_2_04.png 200w\", \"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/e17e5/webmap_2_04.png 400w\", \"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/5a190/webmap_2_04.png 800w\", \"/methods-in-spatial-research-sp2024/static/3f9a98388d1d92108e01194a01a59fdd/1132d/webmap_2_04.png 1158w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"h4\", null, \"Adding and Styling data in Mapbox Studio\"), mdx(\"p\", null, \"Let's add the data we used in the previous tutorial. Tab over to the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Layers\"), \" menu on the left-hand toolbox, and hit the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"plus\"), \" icon. In the next menu hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Source\"), \" and then \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Upload Data\"), \". Upload our \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"blocks_joined_trees_um.gejson\"), \" dataset.\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"37.5%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAICAIAAAB2/0i6AAAACXBIWXMAAA7DAAAOwwHHb6hkAAABvUlEQVQY02MwdHQzdvYwcnLTs3PRd3DRsLJTt7DTsLRXMrHkVVDlU1QTUNLgU1DjlVfllVPhkVXmk1Phl1Phk1MRUdFgKG/urGrrqmrryq6qL2lsq+/qre/qbemfnFxQbOHuee7S5ZNnz127cfPe/fu379y9fefuHRB559HjJzt272IobeqoaOmqbO0qrG8ta+6sbO2s7ehpnzQ1Ob/YzMnly9dvHz9//vrt258/f//DwN+/IPa1m7cYqtu767t6m3r6m3r7m/omVLaB9Lf0T04pKDZxcPr85cu7j59ev3v/9v2H7z9+QNDX799+//l78epVhqq2rpr2nsbuvvqu3kaQERMae/o7Jk9LKSg2tnf89fv3//////z5++nL92/fvt57/Gfjvn9vP4BsvnL9BkhzfSfE5gkQBNNcYuLo+vHz5y/fvn3+8uXTl69fvn599+Hrq7ffv3z98f///wtXrjBUtXY2dPc1w3TCNE9NKSixcPV69uLlnQePHj578+jpsxev37x5//bD589fvoMC4NLVqwyV2DS3T5ySXVYloa7jHR7tFxXnGxnnExnrGxnrFxUH4kbFhSYkuPsHAAABlyCdrgFjwgAAAABJRU5ErkJggg==')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"TilesetID\",\n \"title\": \"TilesetID\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/5a190/webmap_2_05.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/772e8/webmap_2_05.png 200w\", \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/e17e5/webmap_2_05.png 400w\", \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/5a190/webmap_2_05.png 800w\", \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/c1b63/webmap_2_05.png 1200w\", \"/methods-in-spatial-research-sp2024/static/118a05f0b778e6fdf9e7ce416df321e4/11a8f/webmap_2_05.png 1272w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"You should see the dataset being uploading in the bottom right-hand corner. Once it is done, enter the url under \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Add Source by ID\"), \", or by searching for it under \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Your Sources.\"), \" If it doesn't work or you can't find it, give it a second until it is done processing. If you pan over to NYC, you should see the footprint of your dataset there.\"), mdx(\"p\", null, \"Once your dataset is added as a layer, click back onto the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style\"), \" menu for that layer, and click Color. Select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style Across Data Range\"), \" in the menu, and then a pop-up will ask which variable in the data range, select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"avg_diamet\"), \", or however you have the variable named. \"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"77%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"DataRange\",\n \"title\": \"DataRange\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/5a190/webmap_2_06.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/772e8/webmap_2_06.png 200w\", \"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/e17e5/webmap_2_06.png 400w\", \"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/5a190/webmap_2_06.png 800w\", \"/methods-in-spatial-research-sp2024/static/d35f96f387fbe6d69b23d2ac1f6e7dd8/90712/webmap_2_06.png 882w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"Now, in a very similar fashion to QGIS, we will style the data as a gradient from small to large average radius per block. Select \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"+ Add another stop\"), \" until we have five - you'll notice that the radius will already be determined based on the number of stops and the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"linear\"), \" rate of change we have selected above. Now that we have those, let's select our colors. I will use \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://colorbrewer2.org/#type=sequential&scheme=BuGn&n=5\"\n }, \"ColorBrewer2\"), \" again.\"), mdx(\"p\", null, \"After we have our stops and colors added, lets drag our layer down so it is only above the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Land, water & sky\"), \" layers, so the other map data will be on top of the blocks. Lastly, you may notice that there are some black polygons left, if you remember in the last tutorial, we filtered these out by catching them with a \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"null\"), \" filter. However (to my knowledge) there is not a way of doing this in Mapbox Studio.\\nWhile it will work for now, this means that for your own projects, you should filter out the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"null\"), \" values when in QGIS before exporting, so you don't have to deal with that styling issue here.\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"64.99999999999999%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"BLOCKSTYLE\",\n \"title\": \"BLOCKSTYLE\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/5a190/webmap_2_07.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/772e8/webmap_2_07.png 200w\", \"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/e17e5/webmap_2_07.png 400w\", \"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/5a190/webmap_2_07.png 800w\", \"/methods-in-spatial-research-sp2024/static/66a0b0adbe304d1af3cf7c0cf593f797/f4281/webmap_2_07.png 1016w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"Now the Layer is added and ready to use. Lastly let's rename it so that it will be easy to reference in the storymap, I'm renaming it back to the dataset name, or \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"blocks-joined-trees-um\"), \".\"), mdx(\"h4\", null, \"Adding and Styling Another dataset\"), mdx(\"p\", null, \"Repeat the steps above but for your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2015_Street_Tree_Census_subset_um.geojson\"), \" dataset. Instead of choosing \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style across data range\"), \" for color, we will select a single color and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Style across data range\"), \" for \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Radius\"), \", and use the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"tree_dbh\"), \" variable.\"), mdx(\"p\", null, \"This time, the default values mapbox will give us when adding stops will be way too large, on account of an outlier in the dataset. Reference your QGIS project for good stops, for me that was \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2.615\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"6.444\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"9.379\"), \", \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"15.036,\"), \" and \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"26.000\"), \". For my \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"size\"), \" I used 1 to 5 px.\"), mdx(\"p\", null, \"Lastly, rename the layer so that it is easy to type, I did \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"2015-street-tree-census-subset\"), \", and move the layer so that it is below labels but above road geometries.\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"77%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"TREESTYLE\",\n \"title\": \"TREESTYLE\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/5a190/webmap_2_08.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/772e8/webmap_2_08.png 200w\", \"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/e17e5/webmap_2_08.png 400w\", \"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/5a190/webmap_2_08.png 800w\", \"/methods-in-spatial-research-sp2024/static/5d8ada0585398502215da9306304555f/966a0/webmap_2_08.png 944w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"p\", null, \"Make sure to hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Publish\"), \" after you're finished with that. Okay, we're done with Mapbox Studio! Back to our text editor. \"), mdx(\"h2\", null, \"Making a storymap\"), mdx(\"h4\", null, \"Step 1: Finding a Story\"), mdx(\"p\", null, \"This is probably the hardest part, and unfortunately not one that is possible for me to complete in the tutorial. For demo purposes, I'll tell a story about trees in uptown nyc. There are a lot of trees all over the world, so I think I'll start out at global scale, zoom in, and then turn on data layers one at a time. (Please make a story better than this.)\"), mdx(\"p\", null, \"Now that I have my title, I'll start by editing the titles and bylines. In my \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"config.js\"), \" this is everything above \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"chapters\"), \", which we'll get to next. This is also where global settings for the story are defined and while this template doesn't have all it has some, so pay attention to some of those, like \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"showMarkers\"), \", for example. I set that to \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"false\"), \" because I think it is distracting, while I set \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"use3dTerrain\"), \" to \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"true\"), \".\"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \"var config = {\\n style: 'mapbox://styles/adamvosburgh/ckzm6ymoc001y15s707imeig0',\\n accessToken: 'pk.eyJ1IjoiYWRhbXZvc2J1cmdoIiwiYSI6ImNrOGE5MDhudzAzcHozbW82cTRnY201ZWEifQ.SyIq-l5sw9Ew6mGRLgfp1w',\\n showMarkers: false,\\n markerColor: '#3FB1CE',\\n theme: 'light',\\n use3dTerrain: true,\\n title: 'NYC Street Trees',\\n subtitle: 'A Tale of Many Trees',\\n byline: 'By Adam Vosburgh',\\n footer: 'Source: source citations, etc.',\\n\")), mdx(\"h4\", null, \"Step 2: Adding Chapters\"), mdx(\"p\", null, mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"Chapters\"), \" are the manner by which you tell mapbox what information to show depending on how far a reader has scrolled. Every chapter has an \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"id\"), \" which must be unique, a camera (in the form of location/zoom/pitch,) and an \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"onChapterEnter\"), \" / `onChapterExit' event. Aside from these, there are lots of options that you may or may not need (some of which are included in the template), but those are the core. \"), mdx(\"p\", null, \"Here are my chapters: \"), mdx(\"pre\", null, mdx(\"code\", {\n parentName: \"pre\",\n \"className\": \"language-javascript\"\n }, \" chapters: [\\n {\\n id: 'chapter-1',\\n alignment: 'left',\\n hidden: false,\\n title: 'Trees of the World',\\n image: './img/tree.png',\\n description: \\\"There are a lot of trees in the world. Here is a picture of one of them. Let's look at one place in particular which has a lot of trees, but is not necessarily known for that.\\\",\\n location: {\\n center: [0, 0],\\n zoom: 2,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 0,\\n duration: 3000,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-2',\\n alignment: 'left',\\n hidden: false,\\n title: 'New York City',\\n image: './img/legend-tree.png',\\n description: 'New York City has lots of street trees. In fact, trees are a super important part of NYCs resilient infrastructure, saving millions a year in drainage costs and providing heat relief to blocks in the summer. This dataset shown here is from the 2015 NYC Street Tree Census - where volunteers measure mark and identify trees.',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 15,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n duration: 3000,\\n },\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-3',\\n alignment: 'left',\\n hidden: false,\\n title: 'Not So Many Trees',\\n description: 'In this dataset, there are areas with not so many trees...',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 18.75,\\n pitch: 60,\\n bearing: -60\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-4',\\n alignment: 'right',\\n hidden: false,\\n title: 'Many Trees',\\n description: 'And areas with lots of trees!',\\n location: {\\n center: [-73.96059, 40.80322],\\n zoom: 19,\\n pitch: 60,\\n bearing: 15\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-5',\\n alignment: 'right',\\n hidden: false,\\n title: 'Block Summary',\\n image: './img/legend-block.png',\\n description: 'Summarizing the tree data by block also allows us to view larger trends in tree cover in NYC. Greener blocks have higher average street tree diameters than lighter blocks.',\\n location: {\\n center: [-73.94834, 40.80899],\\n zoom: 15,\\n pitch: 0,\\n bearing: 0\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: false,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 1,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 1,\\n }\\n ],\\n onChapterExit: []\\n },\\n {\\n id: 'chapter-6',\\n alignment: 'left',\\n hidden: false,\\n title: 'The End',\\n description: 'Tutorial Created for Methods in Spatial Research, Spring 2022.',\\n location: {\\n center: [-73.96089, 40.80827],\\n zoom: 19,\\n pitch: 30,\\n bearing: 115\\n },\\n mapAnimation: 'flyTo',\\n rotateAnimation: true,\\n callback: '',\\n onChapterEnter: [\\n {\\n layer: 'blocks-joined-trees-um',\\n opacity: 0,\\n duration: 3000,\\n },\\n {\\n layer: '2015-street-tree-census-subset',\\n opacity: 0,\\n duration: 3000,\\n }\\n ],\\n onChapterExit: []\\n }\\n ]\\n};\\n\")), mdx(\"p\", null, \"Once you have that in and hit save, you should be able to read my story in it's entirety, it should look like \", mdx(\"a\", {\n parentName: \"p\",\n \"href\": \"https://adamvosburgh.github.io/webmap_2_storytelling/\"\n }, \"this\"), \". If you still don't see anything, make sure that you hit \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"publish\"), \" on your map in Mapbox Studio, and then even after that it can take a few minutes to show up.\"), mdx(\"p\", null, \"I'll note a few things going on here:\"), mdx(\"ul\", null, mdx(\"li\", {\n parentName: \"ul\"\n }, \"Layers are added to the map using the Layer Name that we defined in Mapbox Studio. That is all we need to reference the data and its respective styling.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"All of the work is being done by \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"onChapterEnter\"), \", and setting the opactiy for that layer. I personally only use \", mdx(\"inlineCode\", {\n parentName: \"li\"\n }, \"onChapterExit\"), \" if I am switching a dataset out for every chapter. My approach is to define the opacity for a layer everytime that it changes - layers won't change unless you tell them to. \"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"One thing you need to think about is what happens when your reader scrolls back up too - you'll want to plan for that so they don't break the site.\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"A really useful tool for setting up the 'camera' is the \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://demos.mapbox.com/location-helper/\"\n }, \"Mapbox Location Helper\"), \".\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"To get the images I added to work, you'll need to add them to your repo. I placed them in a folder called 'img'. Here is the \", mdx(\"a\", {\n parentName: \"li\",\n \"href\": \"https://drive.google.com/drive/folders/1y5rgHK8I6ZIICwJhCx4Ei7qADSf9Msdx?usp=sharing\"\n }, \"download link\"), \".\"), mdx(\"li\", {\n parentName: \"ul\"\n }, \"While you can add legends directly onto the map in html, the chapter image field is a really useful place to put legends.\")), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"800px\"\n }\n }, \"\\n \", mdx(\"span\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"72%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/png;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"STORYMAP\",\n \"title\": \"STORYMAP\",\n \"src\": \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/5a190/webmap_2_09.png\",\n \"srcSet\": [\"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/772e8/webmap_2_09.png 200w\", \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/e17e5/webmap_2_09.png 400w\", \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/5a190/webmap_2_09.png 800w\", \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/c1b63/webmap_2_09.png 1200w\", \"/methods-in-spatial-research-sp2024/static/b2c0be950048ac3866e117f026927b5d/7c5b4/webmap_2_09.png 1309w\"],\n \"sizes\": \"(max-width: 800px) 100vw, 800px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\",\n \"decoding\": \"async\"\n }), \"\\n \")), mdx(\"h4\", null, \"Step 3: Fine-Tune your Story Map\"), mdx(\"p\", null, \"Now that our map is up and running, we'll want to go back and spend some time styling our various html elements. This can all be done in your \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"index.html\"), \", spefically under the \", mdx(\"inlineCode\", {\n parentName: \"p\"\n }, \"
    Intentional Re/Mis Use<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Intentional Re/Mis Use

    Due: 2/02

    "Data are always collected for a specific purpose, by a combination of people, technology, money, commerce, and government." (Kurgan 2013, 35)

    The main task

    Find two digital spatial datasets about a place (that is not New York City) that are related to a topic that interests you and have some relevance to one another. Create a single map which uses these two datasets together to make an argument that was likely not intended by the original creator(s) of either dataset.

    Write a pithy 2 sentence summary of your map's intended argument (think of this as something like gallery text that might accompany a work of art).

    Requirements and considerations

    • The place you select must be somewhere that you have lived and/or spent a significant enough amount of time to know something about lived experience there.
    • Investigate the origins of your two datasets. Some starting points to cover (at a minimum): who made the data? what is/was the intended use(s) the data? when was the data made? how was it made?
    • Craft an argument through the juxtaposition, overlay, or presentation of the two datasets together in a map. This argument should try to in some way alter, stretch, or subvert the originally intended use of one or both datasets.
    • Research the appropriate projected coordinate reference system to use for your chosen place, reproject your data and map canvas accordingly (see tutorial 1)
    • Consider the role that the title and other map elements can play in assisting you in making your argument clear.
    • As you design your map choose one of the projects we have looked at thus far in class as a visual precedent (see slides posted on Canvas, examples on Miro boards, as well as the precedents page here), and imitate some aspect of its graphic style.

    Format

    • Your final map must be a designed map composition on a single slide with a 16:9 aspect ratio.
    • Your designed map composition must thoughtfully include:
      • title
      • legend
      • scale bar
      • north arrow (your map doesn't need to have north be pointing vertically...)
      • citations for all data sources
      • projection used
      • your name

    Submission

    Upload your map:

    • as a PDF document to Canvas (the PDF should include your 2 sentence summary on a second page)
    • add it to the Miro board under Assignment 1 (with your gallery text as an annotation below your map)

    Starting points/guidance

    For sources for spatial datasets see:

    A general rule of thumb for finding data: think about who would have the motivation (and the money/resources) to create the dataset you are looking for then try to research that entity.

    I suggest working with vector datasets for this assignment (but not required). When looking for vector geospatial data you should be looking for one of these file types:

    • shapefile
    • geojson
    • KML/KMZ
    • a csv with latitude and longitude coordinates (review tutorial 1 for how to open something like this)

    If you plan to use raster data you should be looking for something with a '.tif' format or that is called a 'geoTIFF' or 'geoJPG'

    This guide to writing clear gallery text from the Victoria & Albert Museum is perhaps helpful in composing your map description.

    \ No newline at end of file +
    Intentional Re/Mis Use<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Intentional Re/Mis Use

    Due: 2/02

    "Data are always collected for a specific purpose, by a combination of people, technology, money, commerce, and government." (Kurgan 2013, 35)

    The main task

    Find two digital spatial datasets about a place (that is not New York City) that are related to a topic that interests you and have some relevance to one another. Create a single map which uses these two datasets together to make an argument that was likely not intended by the original creator(s) of either dataset.

    Write a pithy 2 sentence summary of your map's intended argument (think of this as something like gallery text that might accompany a work of art).

    Requirements and considerations

    • The place you select must be somewhere that you have lived and/or spent a significant enough amount of time to know something about lived experience there.
    • Investigate the origins of your two datasets. Some starting points to cover (at a minimum): who made the data? what is/was the intended use(s) the data? when was the data made? how was it made?
    • Craft an argument through the juxtaposition, overlay, or presentation of the two datasets together in a map. This argument should try to in some way alter, stretch, or subvert the originally intended use of one or both datasets.
    • Research the appropriate projected coordinate reference system to use for your chosen place, reproject your data and map canvas accordingly (see tutorial 1)
    • Consider the role that the title and other map elements can play in assisting you in making your argument clear.
    • As you design your map choose one of the projects we have looked at thus far in class as a visual precedent (see slides posted on Canvas, examples on Miro boards, as well as the precedents page here), and imitate some aspect of its graphic style.

    Format

    • Your final map must be a designed map composition on a single slide with a 16:9 aspect ratio.
    • Your designed map composition must thoughtfully include:
      • title
      • legend
      • scale bar
      • north arrow (your map doesn't need to have north be pointing vertically...)
      • citations for all data sources
      • projection used
      • your name

    Submission

    Upload your map:

    • as a PDF document to Canvas (the PDF should include your 2 sentence summary on a second page)
    • add it to the Miro board under Assignment 1 (with your gallery text as an annotation below your map)

    Starting points/guidance

    For sources for spatial datasets see:

    A general rule of thumb for finding data: think about who would have the motivation (and the money/resources) to create the dataset you are looking for then try to research that entity.

    I suggest working with vector datasets for this assignment (but not required). When looking for vector geospatial data you should be looking for one of these file types:

    • shapefile
    • geojson
    • KML/KMZ
    • a csv with latitude and longitude coordinates (review tutorial 1 for how to open something like this)

    If you plan to use raster data you should be looking for something with a '.tif' format or that is called a 'geoTIFF' or 'geoJPG'

    This guide to writing clear gallery text from the Victoria & Albert Museum is perhaps helpful in composing your map description.

    \ No newline at end of file diff --git a/resources/assignment02/index.html b/resources/assignment02/index.html index 5a57267..b8468e9 100644 --- a/resources/assignment02/index.html +++ b/resources/assignment02/index.html @@ -1 +1 @@ -
    Selective Digitization<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Selective Digitization

    Due: 2/09

    What

    Research and obtain a scanned map, georeference it, and then digitize selected features in order to produce a new map that has a different focus or narrative.

    Think strategically about your basemap: What context is needed to understand the focus of your map?

    Write a pithy 2 sentence summary of your map’s intended argument (think of this as something like gallery text that might accompany a work of art).

    Requirements

    • Your final work must be a designed map composition in a single image with a 16:9 aspect ratio (1920x1080 pixels).

    • Select one of the map examples discussed thus far during class (look back at lecture slides and/or examples from precedents page and imitate some aspect of its graphic style when designing the map of digitized features. This is the best way to learn and practice designing beautiful maps.

    • Your designed map composition must include:

      • title
      • legend
      • scale bar (or two depending on whether you show your map at the same scale...)
      • north arrow (your map doesn't need to have north pointing vertically...)
      • citations for all data sources (please use Chicago style or an equivalent)
      • projection used
      • your name

    Submission

    • Upload your designed map & a copy of the scanned map you georeferenced:
      • as a single pdf to Canvas (the PDF should include your 2 sentence summary on a third page))
      • add your map & the original scanned map (as well as your 2 sentence summary) to the Miro board under Assignment 2

    Resources

    Here are a few good resources for finding scanned maps:

    \ No newline at end of file +
    Selective Digitization<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Selective Digitization

    Due: 2/09

    What

    Research and obtain a scanned map, georeference it, and then digitize selected features in order to produce a new map that has a different focus or narrative.

    Think strategically about your basemap: What context is needed to understand the focus of your map?

    Write a pithy 2 sentence summary of your map’s intended argument (think of this as something like gallery text that might accompany a work of art).

    Requirements

    • Your final work must be a designed map composition in a single image with a 16:9 aspect ratio (1920x1080 pixels).

    • Select one of the map examples discussed thus far during class (look back at lecture slides and/or examples from precedents page and imitate some aspect of its graphic style when designing the map of digitized features. This is the best way to learn and practice designing beautiful maps.

    • Your designed map composition must include:

      • title
      • legend
      • scale bar (or two depending on whether you show your map at the same scale...)
      • north arrow (your map doesn't need to have north pointing vertically...)
      • citations for all data sources (please use Chicago style or an equivalent)
      • projection used
      • your name

    Submission

    • Upload your designed map & a copy of the scanned map you georeferenced:
      • as a single pdf to Canvas (the PDF should include your 2 sentence summary on a third page))
      • add your map & the original scanned map (as well as your 2 sentence summary) to the Miro board under Assignment 2

    Resources

    Here are a few good resources for finding scanned maps:

    \ No newline at end of file diff --git a/resources/assignment03/index.html b/resources/assignment03/index.html index c5ef938..1d783c9 100644 --- a/resources/assignment03/index.html +++ b/resources/assignment03/index.html @@ -1 +1 @@ -
    Collecting & Mapping<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Collecting & Mapping

    Due: 2/16

    What

    Complete either tutorial 4 or 5, and complete the corresponding assignment:

    Tutorial 4: Making Data from Field Observations

    Create a vector dataset of point locations through field work using the GPS receiver of a cell phone. The points should represent the locations of some thing (object, phenomena, landmark) that you encounter in the immediate surroundings of your everyday life or significant points along some kind of path (route, invisible border, etc). Design a map using the dataset you created.

    Note: you may not use maptiles (Stamen, Open Street Maps, XYZ Tiles) as the basemap for this assignment but must instead locate data to design your own basemap (or design your map in such a way that a basemap isn't necessary...). See suggestions below for places to look for basemap datasets for NYC, if you are not in NYC then look for similar open data portals for your municipality.

    How

    After you have a grasp on the process of setting up a form to collect data using Kobo Toolbox as outlined in tutorial 4:

    • Decide on what you would like to collect data about. (Choose a location you can easily travel to and where you will feel comfortable being in public space.)
    • Write out what information you would like to collect about each point location (these will become the fields in the attribute table of the new dataset you are creating)
    • Design a form to collect point locations and each of the attribute fields you are interested in using the Kobo Toolbox website
    • Go out into the world and collect your data. (Please observe social distancing & wear a mask).
    • Export it as a CSV file, and create a map of it in QGIS

    Requirements

    • Collect ten to fifteen data points, or as many as is necessary to convey what you hope to show in your map.
    • Design a map that uses a graphic/visual approach which is related in some way to the data it is depicting OR some aspect of the experience of collecting that data (draw on precedent projects !)
    • In assembling data for your basemap you might look to:

    Reference

    For reference here are the precedent projects we looked at in class on 2/09

    Optional additional exercise

    Use Field Papers to generate a paper atlas for the area where you are collecting data using Kobo Toolbox. While you are out in the field using your Kobo Toolbox data collection tool, record information about your topic using Field Papers as well.

    Create two maps that speak to the different kinds of information that each approach allows you to gather.

    Tutorial 5: Using Data for the US Census

    Add another dataset from data.census.gov to provide a bit of context to our sample size percentage map from the end of tutorial 5.

    Note: you may not use maptiles (Stamen, Open Street Maps, XYZ Tiles) as the basemap for this assignment but must instead locate data to design your own basemap (or design your map in such a way that a basemap isn't necessary...). See suggestions below for places to look for basemap datasets for NYC, if you are not in NYC then look for similar open data portals for your municipality.

    How

    • Collect at least one more dataset, and add it by either layering it on, or by creating a new field in addition to our sample percentage.
    • Check the bottom of tutorial 5 under Challenge for a suggestion of some datasets that you might think to add.

    Requirements

    • The dataset that you add must be from the US census.
    • As usual, add a two sentence summary of your map and argument to your pdf upload.
    • Design a map that is visually clear and makes an argument that someone unaquanted with the data could see.
    • Your map does not have to provide answers - but can rather ask more precise questions. Feel free to also zoom in a specific area if you think that that aids your argument.
    • If you think that mapping sample size vs population is actually a very bad way to go about this - feel free to make a map saying that!

    Submission

    • Upload your designed map as a single pdf to Canvas (the PDF should include your 2 sentence summary on an additional page)
    • Add your map to the Miro board under Assignment 3
    \ No newline at end of file +
    Collecting & Mapping<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Collecting & Mapping

    Due: 2/16

    What

    Complete either tutorial 4 or 5, and complete the corresponding assignment:

    Tutorial 4: Making Data from Field Observations

    Create a vector dataset of point locations through field work using the GPS receiver of a cell phone. The points should represent the locations of some thing (object, phenomena, landmark) that you encounter in the immediate surroundings of your everyday life or significant points along some kind of path (route, invisible border, etc). Design a map using the dataset you created.

    Note: you may not use maptiles (Stamen, Open Street Maps, XYZ Tiles) as the basemap for this assignment but must instead locate data to design your own basemap (or design your map in such a way that a basemap isn't necessary...). See suggestions below for places to look for basemap datasets for NYC, if you are not in NYC then look for similar open data portals for your municipality.

    How

    After you have a grasp on the process of setting up a form to collect data using Kobo Toolbox as outlined in tutorial 4:

    • Decide on what you would like to collect data about. (Choose a location you can easily travel to and where you will feel comfortable being in public space.)
    • Write out what information you would like to collect about each point location (these will become the fields in the attribute table of the new dataset you are creating)
    • Design a form to collect point locations and each of the attribute fields you are interested in using the Kobo Toolbox website
    • Go out into the world and collect your data. (Please observe social distancing & wear a mask).
    • Export it as a CSV file, and create a map of it in QGIS

    Requirements

    • Collect ten to fifteen data points, or as many as is necessary to convey what you hope to show in your map.
    • Design a map that uses a graphic/visual approach which is related in some way to the data it is depicting OR some aspect of the experience of collecting that data (draw on precedent projects !)
    • In assembling data for your basemap you might look to:

    Reference

    For reference here are the precedent projects we looked at in class on 2/09

    Optional additional exercise

    Use Field Papers to generate a paper atlas for the area where you are collecting data using Kobo Toolbox. While you are out in the field using your Kobo Toolbox data collection tool, record information about your topic using Field Papers as well.

    Create two maps that speak to the different kinds of information that each approach allows you to gather.

    Tutorial 5: Using Data for the US Census

    Add another dataset from data.census.gov to provide a bit of context to our sample size percentage map from the end of tutorial 5.

    Note: you may not use maptiles (Stamen, Open Street Maps, XYZ Tiles) as the basemap for this assignment but must instead locate data to design your own basemap (or design your map in such a way that a basemap isn't necessary...). See suggestions below for places to look for basemap datasets for NYC, if you are not in NYC then look for similar open data portals for your municipality.

    How

    • Collect at least one more dataset, and add it by either layering it on, or by creating a new field in addition to our sample percentage.
    • Check the bottom of tutorial 5 under Challenge for a suggestion of some datasets that you might think to add.

    Requirements

    • The dataset that you add must be from the US census.
    • As usual, add a two sentence summary of your map and argument to your pdf upload.
    • Design a map that is visually clear and makes an argument that someone unaquanted with the data could see.
    • Your map does not have to provide answers - but can rather ask more precise questions. Feel free to also zoom in a specific area if you think that that aids your argument.
    • If you think that mapping sample size vs population is actually a very bad way to go about this - feel free to make a map saying that!

    Submission

    • Upload your designed map as a single pdf to Canvas (the PDF should include your 2 sentence summary on an additional page)
    • Add your map to the Miro board under Assignment 3
    \ No newline at end of file diff --git a/resources/assignment04/index.html b/resources/assignment04/index.html index 54298e3..967b6f2 100644 --- a/resources/assignment04/index.html +++ b/resources/assignment04/index.html @@ -5,4 +5,4 @@ scale bar north arrow (your map doesn't need to have north pointing vertically...) citations for all data sources (please use Chicago style or an equivalent) -projection used

    Upload to Canvas and Miro:

    • Your map/maps/gif

    Tutorial 7: Making Data from Aerial Imagery:

    Use the Google Static Maps API to download satellite/aerial images for 20 - 100 significant locations of your choosing.

    Design a layout to present the images on one or more pages (or GIFs)

    Upload to Canvas:

    • The layout you designed (add this to Miro too)
    • The csv file you used and
    • A screenshot of the directory on your computer where you have saved your downloaded images

    Submission

    • Upload your work on Canvas (refer to specific instructions above)
    • add it to "Pin-Up Assignment 4" on the Miro board

    Optional additional exercise

    Do both!

    \ No newline at end of file +projection used

    Submission Materials:

    • Your map/maps/gif

    Tutorial 7: Making Data from Aerial Imagery:

    Use the Google Static Maps API to download satellite/aerial images for 20 - 100 significant locations of your choosing.

    Design a layout to present the images on one or more pages (or GIFs)

    Submission Materials:

    • The layout you designed (add this to Miro too)
    • The csv file you used and
    • A screenshot of the directory on your computer where you have saved your downloaded images

    Submission

    • Upload your work on Canvas (refer to specific instructions above)
    • add your map to "Pin-Up Assignment 4" on the Miro board

    Optional additional exercise

    Do both!

    \ No newline at end of file diff --git a/resources/assignment05/index.html b/resources/assignment05/index.html new file mode 100644 index 0000000..a1ff65d --- /dev/null +++ b/resources/assignment05/index.html @@ -0,0 +1 @@ +
    Where Next?<!-- -->| <!-- -->A4407-sp2024
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    Where Next?

    Due: 2/23

    What

    Complete either tutorial 8, 9, or 10+11 (as a pair) and complete the corresponding assignment:

    Tutorial 8: Making Data from Street View

    Use the Google Street View Static API to download street view images for 20 - 100 significant locations of your choosing. Also pay attention to the camera bearing/orientation.

    Design a layout to present the images on one or more pages (or GIFs)

    Submission Materials:

    A multi page PDF with:

    • Page 1: the layout you designed, and a link to your google colab notebook.

    • Page 2: A screenshot of the directory on your computer where you have saved your downloaded images

    • A downloaded csv or geojson of your final dataset (on canvas)

    Tutorial 9: Making Data in Python:

    Now that we have recreated a portion of Tutorial 1 in Python, for the assignment please either:

    • Recreate tutorial 5 in your own notebook. (just the tutorial, not the challenge)
    • Wrangle your own data and map something else. (you must have at least one non-spatial dataset, and join it to a spatial one.)

    Submission Materials:

    • A single page PDF with your map as a .png, and a link to your google colab notebook.
    • A downloaded csv or geojson of your final dataset

    Tutorial 10+11:

    Create your own story map, using one of the tutorials we have already made, or your own dataset.

    Submission Materials:

    A multi-page PDF with:

    • Page 1: a representative screenshot of your story map, with a title, two sentence summary, and a link to the live map.
    • Page 2: A representative screen recording of your story map (less than 30 seconds, does not have to be the full story).

    Submission

    • Upload your work on Canvas (refer to specific instructions above)
    • Include it in your finalized Mapping Portfolio

    Optional additional exercise

    Do both!

    \ No newline at end of file diff --git a/resources/census-data/index.html b/resources/census-data/index.html index 5f8a0df..86f7ba8 100644 --- a/resources/census-data/index.html +++ b/resources/census-data/index.html @@ -58,4 +58,4 @@

    I recommend picking a color ramp that won't lead us to conclusions - for example, a color ramp from white to blue has the effect of telling us that blue areas are good, and white need attention. Conversely, red to white signals that the white areas are fine. In truth, I'm not sure what to make of the results of this dataset yet, so I chose Cividis, which is blue to yellow. As a side note, if you ever need help picking the right colors for maps in the future, I highly recommmend Color Brewer 2

    Go ahead and export this map to our processed folder, with a right click on the layer, Save Features As, and select the location. This ensures that your work is portable between QGIS projects, and won't get lost in a crash.

    Adding a water layer

    One thing that is confusing about the map, is that census tracts extend over water as well. This makes it difficult to read at times.

    Download the [hydrogaphy basemap from NYC Open Data] (https://data.cityofnewyork.us/Environment/HYDRO/pjs3-c3z5/about_data), and add it to your project. Give it a blue-ish color that doesn't contrast with the data.

    final map -

    Final Map

    Looking at our final map, what is it telling us? It is actually very interesting, and kind of surprising to me. In many cases, areas that are wealthier seem to have a lower sample size to final population estimate ratio, whereas communities I often think of as underserved sometimes show the opposite. This trend doesn't carry to many places, but why could this be? Is it because perhaps the ACS surveyors believe they have enough supporting data to accurately count the populations in wealthier areas, so they prioritize underserved communities? That would make sense, but it also could potentially mean that perhaps the sample ratio is higher in underserved communities, precisely because they are undercounted, and their population should be higher than in actually is. This map asks many more questions that it solves, which is exactly what you want.

    Challenge

    What other datasets could you add to what we have here to ask more questions, or start to provide answers about what our sample percentage means? Some datasets that could do that our:

    • Census response rates
    • Internet Access
    • Demographic charateristics
    • Housing characteristics (renter/owner, vacant/occupied)

    Also, it may be helpful to do more background research on the datasets that we have used so far - perhaps something in there can point you in the right direction?

    Module by Adam Vosburgh, Spring 2024.

    \ No newline at end of file +

    Final Map

    Looking at our final map, what is it telling us? It is actually very interesting, and kind of surprising to me. In many cases, areas that are wealthier seem to have a lower sample size to final population estimate ratio, whereas communities I often think of as underserved sometimes show the opposite. This trend doesn't carry to many places, but why could this be? Is it because perhaps the ACS surveyors believe they have enough supporting data to accurately count the populations in wealthier areas, so they prioritize underserved communities? That would make sense, but it also could potentially mean that perhaps the sample ratio is higher in underserved communities, precisely because they are undercounted, and their population should be higher than in actually is. This map asks many more questions that it solves, which is exactly what you want.

    Challenge

    What other datasets could you add to what we have here to ask more questions, or start to provide answers about what our sample percentage means? Some datasets that could do that our:

    • Census response rates
    • Internet Access
    • Demographic charateristics
    • Housing characteristics (renter/owner, vacant/occupied)

    Also, it may be helpful to do more background research on the datasets that we have used so far - perhaps something in there can point you in the right direction?

    Module by Adam Vosburgh, Spring 2024.

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    Further GIS learning resources<!-- -->| <!-- -->A4407-sp2024
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    Further GIS learning resources

    Resources

    This page provides a partially-annotated bibliography of mapping resources. -It includes map-related software tools/environments, data sources and archives, online learning resources, and finally other mapping classes you can take here at Columbia. It is by no means exhaustive but hopefully it might help each of you identify some new territory for exploration as you continue your journey with critical mapping.

    Software Tools and Environments

    Desktop GIS Software

    • QGIS - Used in the tutorials!
    • ArcGIS - Commercial GIS software you're likely to find in corporate settings & government agencies. Licenses are very expensive so generally not recommended for personal use.

    Javascript Libraries for Web Mapping and Data Visualization

    • GitHub Pages - Not a javascript library but one of the easiest ways to publish a static website. (Used in Tutorials)
    • Mapbox GL - From the Tutorials!
    • OpenLayers - Yet another open-source map library. Support for many different raster and vector data sources.
    • Tangram - Another WebGL-based map library which lets you define custom styles directly rather than depending on vector tiles like Mapbox.
    • Leaflet - Open-Source javascript library for easy web maps, somewhat similar in functionality to Mapbox GL but not as good-looking.
    • D3 - Slightly complicated but very flexible library for interactive data visualization.

    Jupyter Notebooks

    These are beyond the scope of our 6-week class but provide a third category of environment for spatial data analysis. Here your workspace is a 'notebook' that combines blocks of text with code snippets (usually in Python or R) that share a common computational environment. Using different libraries, code snippets can also generate interactive, data-driven visualizations. Mostly these are used in more quantitative/programming-heavy workflows that deal with large datasets or complex computational requirements. If you're interested in working with census data or machine learning, this is a good space to explore.

    Data Sources & Archives

    Learning Resources

    Columbia/Barnard

    General Resources/Introductions

    • Programming Historian
    • Baruch College Newman Library GIS Guides
    • GIS StackExchange - StackExchange and related sites (StackOverflow for code/programming topics) are a great resource, especially for open-source GIS tools like QGIS which tend to be less rigorously documented than their commercial counterparts. However, you need to be careful that specific solutions you find here are relevant to the version of the software you're using - comments and threads here are usually more useful at a broader conceptual level than as a way to find viable examples and instructions. Look to the official documentation for these kinds of things as they'll almost always be more up-to-date.

    Projections

    Remote Sensing

    Mapping Online/Webmaps

    • Web Developer Roadmap - As this will show you, web development is a huge topic with many different areas of specialization. This is a good structured overview of what's out there when/if you choose to go beyond the simple static site setup we used in the tutorials.

    Blogs, Inspiration

    Other Columbia/Barnard Classes

    Resources compiled by Dare Brawley, Nadine Fattaleh, Carsten Rodin, Spring 2020-22.

    \ No newline at end of file +It includes map-related software tools/environments, data sources and archives, online learning resources, and finally other mapping classes you can take here at Columbia. It is by no means exhaustive but hopefully it might help each of you identify some new territory for exploration as you continue your journey with critical mapping.

    Software Tools and Environments

    Desktop GIS Software

    • QGIS - Used in the tutorials!
    • ArcGIS - Commercial GIS software you're likely to find in corporate settings & government agencies. Licenses are very expensive so generally not recommended for personal use.

    Javascript Libraries for Web Mapping and Data Visualization

    • GitHub Pages - Not a javascript library but one of the easiest ways to publish a static website. (Used in Tutorials)
    • Mapbox GL - From the Tutorials!
    • OpenLayers - Yet another open-source map library. Support for many different raster and vector data sources.
    • Tangram - Another WebGL-based map library which lets you define custom styles directly rather than depending on vector tiles like Mapbox.
    • Leaflet - Open-Source javascript library for easy web maps, somewhat similar in functionality to Mapbox GL but not as good-looking.
    • D3 - Slightly complicated but very flexible library for interactive data visualization.

    Jupyter Notebooks

    These are beyond the scope of our 6-week class but provide a third category of environment for spatial data analysis. Here your workspace is a 'notebook' that combines blocks of text with code snippets (usually in Python or R) that share a common computational environment. Using different libraries, code snippets can also generate interactive, data-driven visualizations. Mostly these are used in more quantitative/programming-heavy workflows that deal with large datasets or complex computational requirements. If you're interested in working with census data or machine learning, this is a good space to explore.

    Data Sources & Archives

    Learning Resources

    Columbia/Barnard

    General Resources/Introductions

    • Programming Historian
    • Baruch College Newman Library GIS Guides
    • GIS StackExchange - StackExchange and related sites (StackOverflow for code/programming topics) are a great resource, especially for open-source GIS tools like QGIS which tend to be less rigorously documented than their commercial counterparts. However, you need to be careful that specific solutions you find here are relevant to the version of the software you're using - comments and threads here are usually more useful at a broader conceptual level than as a way to find viable examples and instructions. Look to the official documentation for these kinds of things as they'll almost always be more up-to-date.

    Projections

    Remote Sensing

    Mapping Online/Webmaps

    • Web Developer Roadmap - As this will show you, web development is a huge topic with many different areas of specialization. This is a good structured overview of what's out there when/if you choose to go beyond the simple static site setup we used in the tutorials.

    Blogs, Inspiration

    Other Columbia/Barnard Classes

    Resources compiled by Dare Brawley, Nadine Fattaleh, Carsten Rodin, Spring 2020-22.

    \ No newline at end of file diff --git a/resources/index.html b/resources/index.html index 61516f0..98c5384 100644 --- a/resources/index.html +++ b/resources/index.html @@ -1 +1 @@ -
    \ No newline at end of file +
    \ No newline at end of file diff --git a/resources/mapping-where/index.html b/resources/mapping-where/index.html index e31211f..47b5b3c 100644 --- a/resources/mapping-where/index.html +++ b/resources/mapping-where/index.html @@ -83,4 +83,4 @@ graduated trees map

    Assignment 0

    Design a map, or a series of maps showing your Views of NYC Trees. This is an opportunity to experiment with the nuances between these different ways of representing (and indeed understanding) trees in New York City. Complete the next short module on the print layout functions of QGIS cartographic design before embarking on this.

    Consider:
    How can your design convey similarities and differences across each of the four ways of understanding trees of New York City?

    Will you privilege one view over the others? or give equal voice to all four?

    What are the limitations of each view? strengths of each view? how can you communicate these limitations/strengths through your graphic presentation of data?

    Format:
    -Your designed map compositions must thoughtfully include:

    • title
    • legend
    • scale bar
    • north arrow (your map doesn't need to have north be pointing vertically...)
    • citations for all data sources
    • projection used
    • your name

    Submission

    Upload your completed map to Canvas

    Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2024.

    \ No newline at end of file +Your designed map compositions must thoughtfully include:

    • title
    • legend
    • scale bar
    • north arrow (your map doesn't need to have north be pointing vertically...)
    • citations for all data sources
    • projection used
    • your name

    Submission

    Upload your completed map to Canvas

    Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2024.

    \ No newline at end of file diff --git a/resources/observations/index.html b/resources/observations/index.html index e192986..0a799fd 100644 --- a/resources/observations/index.html +++ b/resources/observations/index.html @@ -39,4 +39,4 @@ coordinate reference systems -

    Remember from the Projections and Coordinate Reference Systems module that all GPS coordinates are collected in WGS84 coordinate reference system. If you look at the CRS for your newly collected data points you will see it is EPSG 4326, WGS84.

    Before you continue to work with your newly collected data you should reproject it in a projected coordinate reference system that is well suited to the location you are mapping.

    To do this right click the layer name in the layers panel, select Export then Save Features As specify the location where you will save this new dataset then use the select CSR button to choose the projected coordinate reference system that is best for your location.

    You have now collected your own dataset and are ready to begin analyzing what you have collected, and to design a map that conveys a narrative based on your work.

    Module by Dare Brawley, fall 2021.

    \ No newline at end of file +

    Remember from the Projections and Coordinate Reference Systems module that all GPS coordinates are collected in WGS84 coordinate reference system. If you look at the CRS for your newly collected data points you will see it is EPSG 4326, WGS84.

    Before you continue to work with your newly collected data you should reproject it in a projected coordinate reference system that is well suited to the location you are mapping.

    To do this right click the layer name in the layers panel, select Export then Save Features As specify the location where you will save this new dataset then use the select CSR button to choose the projected coordinate reference system that is best for your location.

    You have now collected your own dataset and are ready to begin analyzing what you have collected, and to design a map that conveys a narrative based on your work.

    Module by Dare Brawley, fall 2021.

    \ No newline at end of file diff --git a/resources/precedents-examples/index.html b/resources/precedents-examples/index.html index 0144aa9..2d970f5 100644 --- a/resources/precedents-examples/index.html +++ b/resources/precedents-examples/index.html @@ -1,3 +1,3 @@
    Precedents & Project Examples<!-- -->| <!-- -->A4407-sp2024
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    Precedents & Project Examples

    Living document of precedent projects....

    General Critical GIS/Radical Cartography resources

    Cartographic Projections + Mapping Existing Datasets

    • MĂśrtenbĂśck, Peter, and Helge Mooshammer, eds. Informal Market Worlds: The Architecture of Economic Pressure. Rotterdam: NAI010 Publishers, 2015.

    Making Data from Archives

    Making Data From Observation & Sensing

    Making Data from Satellites

    Maps & Narrative

    New York Times Graphics Department map-forward stories:

    \ No newline at end of file +

  • Fawaz, Mona, Dounia SalamĂŠ and Isabela Serhan. "Seeing the City as a Delivery Driver: Practices of Syrian Men in Beirut, Lebanon." in Refugees as City Makers eds. Fawaz, Mona, Ahmad Gharbieh, Mona Harb, and Dounia SalamĂŠ. Beirut: Lebanon. 2018. See page 62 of PDF.

  • Digital Matatus 2014-ongoing.

  • Prado-Núùez, Viviana. “Boundaries and Border Crossings: On Public Spanish in Washington Heights,” Conflict Urbanism: Language Justice.

  • Kim, Annette. “Mapping the Unmapped: Mixed Use Sidewalk Spaces,” Sidewalk City: Remapping Public Space in Ho Chi Min City. University of Chicago Press, 2015 pp. 100-169. Book available to view online via CLIO

  • House, Brian. "Stalking the Smart City." 2019

  • Folder. Italian Limes. 2014

  • Weckert,Simon. "Google Maps Hacks." 2020

  • Berardi, Francesca & Grga Basic. "We Can NYC." 2018

  • Troittin, Masson, Tallon. Usages: A subjective and Factual Analysis of Uses of Public Space. 2011

  • Svarre, Birgitte and Jan Gehl. How to Study Public Life. 2013. ebook via Columbia Library

  • MIT Sensable City Lab. "Trash Track." 2008

    • Making Data from Satellites

    Maps & Narrative

    New York Times Graphics Department map-forward stories:

    \ No newline at end of file diff --git a/resources/print-layout/index.html b/resources/print-layout/index.html index 80cf99a..11e7462 100644 --- a/resources/print-layout/index.html +++ b/resources/print-layout/index.html @@ -28,4 +28,4 @@

    Notice difference between the grid and the graticule. Based on the projections and coordinate reference systems module can you interpret these differences?

    Add additional map elements

    Use the left toolbar to add a north arrow and a scale bar. Adjust the style and settings for each using the Item Properties menu for each element.

    Exporting

    It is possible to export a print layout in multiple formats including as a PDF, as an image file (in multiple formats), or in SVG format.

    Export options can be accessed via Layout in the top menu bar or the export buttons in the Layout toolbar (circled below).

    layout toolbar -

    Notes on workflow

    It is possible to use the print layout tool within QGIS to design visually compelling maps. However, it is generally much faster to use the print layout to: define a map/paper size, set the spatial scale of your map(s), and add any orienting map elements (scale, legend) and then export to continue your work in a dedicated graphics editing software.

    Exporting maps with vector-based data in SVG format allows you to edit the representation of your data in Illustrator or another vector graphics software.

    Any raster-based data should be exported separately as in a high resolution image format which can be layered in your graphics editor of choice with any vector-based elements.

    Further resources

    Print-layout how-to:

    Map design more generally:

    Optional challenge: build and use an atlas of references

    1. Locate at least five to ten examples (the more the better!) of maps you find visually compelling, especially clear in their narrative, or otherwise enjoy looking at. Design a method for keeping track of these examples and their sources (for example: are.na channel, a well organized folder structure, or a Zotero library).

    2. In conjunction with the challenge for the Mapping Where module: choose 2-3 individual elements from within your reference atlas and apply them in the design of your Four Views of Trees in New York City.

    Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2023.

    \ No newline at end of file +

    Notes on workflow

    It is possible to use the print layout tool within QGIS to design visually compelling maps. However, it is generally much faster to use the print layout to: define a map/paper size, set the spatial scale of your map(s), and add any orienting map elements (scale, legend) and then export to continue your work in a dedicated graphics editing software.

    Exporting maps with vector-based data in SVG format allows you to edit the representation of your data in Illustrator or another vector graphics software.

    Any raster-based data should be exported separately as in a high resolution image format which can be layered in your graphics editor of choice with any vector-based elements.

    Further resources

    Print-layout how-to:

    Map design more generally:

    Optional challenge: build and use an atlas of references

    1. Locate at least five to ten examples (the more the better!) of maps you find visually compelling, especially clear in their narrative, or otherwise enjoy looking at. Design a method for keeping track of these examples and their sources (for example: are.na channel, a well organized folder structure, or a Zotero library).

    2. In conjunction with the challenge for the Mapping Where module: choose 2-3 individual elements from within your reference atlas and apply them in the design of your Four Views of Trees in New York City.

    Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2023.

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    Mapping in Python - Pandas and Altair<!-- -->| <!-- -->A4407-sp2024
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    Mapping in Python - Pandas and Altair

    Under Construction

    Check back shortly!

    Under Construction Cat -

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    The combination of bands 6-4-2 is particularly well suited for looking at agriculture -- vegetation appears as shades of green and urban areas or bare soil appear as brown/magenta.

    agriculture -

    Export false color composites

    To export a false color composite as a GeoTiff image (that freezes the given false color composite you've chosen) right click on the virtual band set in the layers menu. Select save as and choose rendered image as your output mode, and select a location and file name to save the image. This false color composite is now saved, you no longer have access to the raw data of each of the Landsat bands that originally comprised it but you can work with it as a base map or for other uses or bring it into a different program.

    If you'd like you can repeat the steps above on the second Landsat image bundle we downloaded to compare false color composites before and after Hurricane Maria to see the visible flooding.

    Take it further: supervised classification

    Beyond false color composites researchers use the spectral signatures for different features of the earths surface to classify land use and land cover and a variety of other phenomena. The USGS for example produces and maintains data on land use and land cover which it creates using Landsat and other remotely sensed data.

    You can create your specific land use classifications using something called supervised classification. This is beyond the required scope of this assignment but if you are interested in going further please follow the instructions for using the SCP for creating your own land use classification contained in this external tutorial produced by the Applied Remote Sensing Training Program at NASAhere

    Assignment

    Create a map using Landsat Satellite imagery that shows land use change over time. Download two (or more!) images captured by the Landsat 8 satellite of the same location on different dates, import them into QGIS and symbolize with a false color composite that helps to highlight a change in the landscape that is visible in your chosen location.

    Requirements

    Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2024.

    \ No newline at end of file +

    Export false color composites

    To export a false color composite as a GeoTiff image (that freezes the given false color composite you've chosen) right click on the virtual band set in the layers menu. Select save as and choose rendered image as your output mode, and select a location and file name to save the image. This false color composite is now saved, you no longer have access to the raw data of each of the Landsat bands that originally comprised it but you can work with it as a base map or for other uses or bring it into a different program.

    If you'd like you can repeat the steps above on the second Landsat image bundle we downloaded to compare false color composites before and after Hurricane Maria to see the visible flooding.

    Take it further: supervised classification

    Beyond false color composites researchers use the spectral signatures for different features of the earths surface to classify land use and land cover and a variety of other phenomena. The USGS for example produces and maintains data on land use and land cover which it creates using Landsat and other remotely sensed data.

    You can create your specific land use classifications using something called supervised classification. This is beyond the required scope of this assignment but if you are interested in going further please follow the instructions for using the SCP for creating your own land use classification contained in this external tutorial produced by the Applied Remote Sensing Training Program at NASAhere

    Assignment

    Create a map using Landsat Satellite imagery that shows land use change over time. Download two (or more!) images captured by the Landsat 8 satellite of the same location on different dates, import them into QGIS and symbolize with a false color composite that helps to highlight a change in the landscape that is visible in your chosen location.

    Requirements

    Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2024.

    \ No newline at end of file diff --git a/resources/street-view/index.html b/resources/street-view/index.html index c7623dc..aae6ca7 100644 --- a/resources/street-view/index.html +++ b/resources/street-view/index.html @@ -1,4 +1,4 @@
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    Making Data from Street View

    Under Construction

    Check back shortly!

    Under Construction Cat -

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    \ No newline at end of file diff --git a/resources/syllabus/index.html b/resources/syllabus/index.html index d6915b3..edcf499 100644 --- a/resources/syllabus/index.html +++ b/resources/syllabus/index.html @@ -14,4 +14,4 @@ Weekly map assignments will allow you to apply the skills acquired via tutorials and begin to experiment with creative applications of spatial methods. Five map assignments will be completed over the course of the six week course and as such are intended to be limited in scope; experimental; and geared towards learning and creative engagement rather than demonstrating advanced skills. Assignment descriptions and associated assessment rubrics will be distributed each week.

    For the final course session you will assemble your map assignments into a single document/portfolio/atlas.

    Software

    Geographic Information Systems is not a software. As such this course will not seek to provide students with proficiency in a particular software platform.
    Tutorial resources will be primarily provided for QGIS 3.16 (LTR). This is an open source software program for geographic analysis that runs on Windows, Mac, and Linux operating systems. All students will be expected to download and install QGIS 3.16 (LTR). Documentation for QGIS is available here, and a training manual with good basic tutorials is available here and an introduction to GIS methods using QGIS is available here. Information regarding other GIS softwares will be provided in course resources.
    -Knowledge of design and layout programs (Adobe Illustrator, and InDesign) may be useful to you but is not required.

    Course google drive folder

    All readings and course data will be available via Google Drive here.

    Academic Integrity

    The intellectual venture in which we are all engaged requires of faculty and students alike the highest level of personal and academic integrity. As members of an academic community, each one of us bears the responsibility to participate in scholarly discourse and research in a manner characterized by intellectual honesty and scholarly integrity.

    Scholarship, by its very nature, is an iterative process, with ideas and insights building one upon the other. Collaborative scholarship requires the study of other scholars' work, the free discussion of such work, and the explicit acknowledgement of those ideas in any work that inform our own. This exchange of ideas relies upon a mutual trust that sources, opinions, facts, and insights will be properly noted and carefully credited.

    In practical terms, this means that, as students, you must be responsible for the full citations of others' ideas in all of your research papers and projects; you must be scrupulously honest when taking your examinations; you must always submit your own work and not that of another student, scholar, or internet agent.

    Any breach of this intellectual responsibility is a breach of faith with the rest of our academic community. It undermines our shared intellectual culture, and it cannot be tolerated. Students failing to meet these responsibilities should anticipate being asked to leave Columbia.

    For more information on academic integrity at Columbia, students may refer to the Columbia University Undergraduate Guide to Academic Integrity as well as the GSAPP Honor System and Plagiarism Policy.

    Community & Accessibility

    This is a discussion and collaborative-critique based course. All students and the instructor must be respectful of others in the classroom. If you ever feel that the classroom environment is discouraging your participation or is problematic in anyway please contact me.

    GSAPP is committed to full inclusion of all students. Students needing any form of accommodation due to a disability should check in with Disability Services (DS) and speak with me at the beginning of the semester to provide the accommodations letter from DS. Alternatively you may ask your advisor to consult with me regarding your accommodations.

    Email Policy

    Students should not rely on or expect an immediate response to questions sent via email to the instructor. Please begin assignments with enough time to attend office hours or ask a question several days before the assignment is due.

    Learning how to troubleshoot technical issues and locate relevant resources is crucial in your long-term success with GIS methods. With this in mind emails with technical questions must at a minimum contain the following:

    Bibliography

    Baics, Gergely, and Leah Meisterlin. “Zoning Before Zoning: Land Use and Density in Mid-Nineteenth-Century New York City.” Annals of the American Association of Geographers 106, no. 5 (September 2, 2016): 1152–75.

    Battle-Baptiste, Whitney, and Britt Rusert, eds. W.E.B. Du Bois’s Data Portraits: Visualizing Black America: The Color Line at the Turn of the Twentieth Century. First edition. [Amherst, Massachusetts] : Hudson, NY: The W.E.B. Du Bois Center at the University of Massachusetts Amherst ; Princeton Architectural Press, 2018.

    Corner, James. “The Agency of Mapping.” In Landscape Imagination: Collected Essays of James Corner 1990-2010. New York, UNITED STATES: Princeton Architectural Press, 2014.

    Couclelis, Helen. “People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS.” In Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, edited by A. U. Frank, I. Campari, and U. Formentini, 639:65–77. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.

    Desimini, Jill, and Charles Waldheim. “Introduction: Projecting the Landscape Imaginary.” In Cartographic Grounds : Projecting the Landscape Imaginary. New York: Princeton Architectural Press, 2016.

    Ferrari, Marco, Elisa Pasqual, and Andrea Bagnato. A Moving Border: Alpine Cartographies of Climate Change. New York, NY: Columbia Books on Architecture and the City, 2019.

    House, Brian. "Stalking the Smart City." Urban Omnibus 2019

    Kurgan, Laura. “Mapping Considered as a Problem of Theory and Practice.” In Close up at a Distance : Mapping, Technology, and Politics, 9–18. Brooklyn, NY: Zone Books, 2013.

    MĂśrtenbĂśck, Peter, and Helge Mooshammer, eds. Informal Market Worlds: The Architecture of Economic Pressure. Rotterdam: NAI010 Publishers, 2015.

    Rankin, William. "Introduction Territory and the Mapping Sciences" in After The Map: Cartography, Navigation, and the Transformation of Territory in the Twentieth Century. Chicago: University of Chicago Press. 2016.

    Williams, Sarah, Jacqueline Klopp, Daniel Orwa, Peter Waiganjo, and Adam White. “Digital Matatus: Using Mobile Technology to Visualize Informality.” ACSA Annual Meeting Proceedings, The Expanding Periphery and the Migrating Center, 2015, 9.

    Wood, Dennis. "Everything Sings: Maps for a Narrative Atlas." In Places Journal. 2011.

    Woods, Clyde Adrian., and Katherine. McKittrick. “No One Knows the Mysteries at the Bottom of the Ocean.” In Black Geographies and the Politics of Place. Toronto, Ont. : Cambridge, Mass.: Between the Lines ; South End Press, 2007.

    \ No newline at end of file +Knowledge of design and layout programs (Adobe Illustrator, and InDesign) may be useful to you but is not required.

    Course google drive folder

    All readings and course data will be available via Google Drive here.

    Academic Integrity

    The intellectual venture in which we are all engaged requires of faculty and students alike the highest level of personal and academic integrity. As members of an academic community, each one of us bears the responsibility to participate in scholarly discourse and research in a manner characterized by intellectual honesty and scholarly integrity.

    Scholarship, by its very nature, is an iterative process, with ideas and insights building one upon the other. Collaborative scholarship requires the study of other scholars' work, the free discussion of such work, and the explicit acknowledgement of those ideas in any work that inform our own. This exchange of ideas relies upon a mutual trust that sources, opinions, facts, and insights will be properly noted and carefully credited.

    In practical terms, this means that, as students, you must be responsible for the full citations of others' ideas in all of your research papers and projects; you must be scrupulously honest when taking your examinations; you must always submit your own work and not that of another student, scholar, or internet agent.

    Any breach of this intellectual responsibility is a breach of faith with the rest of our academic community. It undermines our shared intellectual culture, and it cannot be tolerated. Students failing to meet these responsibilities should anticipate being asked to leave Columbia.

    For more information on academic integrity at Columbia, students may refer to the Columbia University Undergraduate Guide to Academic Integrity as well as the GSAPP Honor System and Plagiarism Policy.

    Community & Accessibility

    This is a discussion and collaborative-critique based course. All students and the instructor must be respectful of others in the classroom. If you ever feel that the classroom environment is discouraging your participation or is problematic in anyway please contact me.

    GSAPP is committed to full inclusion of all students. Students needing any form of accommodation due to a disability should check in with Disability Services (DS) and speak with me at the beginning of the semester to provide the accommodations letter from DS. Alternatively you may ask your advisor to consult with me regarding your accommodations.

    Email Policy

    Students should not rely on or expect an immediate response to questions sent via email to the instructor. Please begin assignments with enough time to attend office hours or ask a question several days before the assignment is due.

    Learning how to troubleshoot technical issues and locate relevant resources is crucial in your long-term success with GIS methods. With this in mind emails with technical questions must at a minimum contain the following:

    Bibliography

    Baics, Gergely, and Leah Meisterlin. “Zoning Before Zoning: Land Use and Density in Mid-Nineteenth-Century New York City.” Annals of the American Association of Geographers 106, no. 5 (September 2, 2016): 1152–75.

    Battle-Baptiste, Whitney, and Britt Rusert, eds. W.E.B. Du Bois’s Data Portraits: Visualizing Black America: The Color Line at the Turn of the Twentieth Century. First edition. [Amherst, Massachusetts] : Hudson, NY: The W.E.B. Du Bois Center at the University of Massachusetts Amherst ; Princeton Architectural Press, 2018.

    Corner, James. “The Agency of Mapping.” In Landscape Imagination: Collected Essays of James Corner 1990-2010. New York, UNITED STATES: Princeton Architectural Press, 2014.

    Couclelis, Helen. “People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS.” In Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, edited by A. U. Frank, I. Campari, and U. Formentini, 639:65–77. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.

    Desimini, Jill, and Charles Waldheim. “Introduction: Projecting the Landscape Imaginary.” In Cartographic Grounds : Projecting the Landscape Imaginary. New York: Princeton Architectural Press, 2016.

    Ferrari, Marco, Elisa Pasqual, and Andrea Bagnato. A Moving Border: Alpine Cartographies of Climate Change. New York, NY: Columbia Books on Architecture and the City, 2019.

    House, Brian. "Stalking the Smart City." Urban Omnibus 2019

    Kurgan, Laura. “Mapping Considered as a Problem of Theory and Practice.” In Close up at a Distance : Mapping, Technology, and Politics, 9–18. Brooklyn, NY: Zone Books, 2013.

    MĂśrtenbĂśck, Peter, and Helge Mooshammer, eds. Informal Market Worlds: The Architecture of Economic Pressure. Rotterdam: NAI010 Publishers, 2015.

    Rankin, William. "Introduction Territory and the Mapping Sciences" in After The Map: Cartography, Navigation, and the Transformation of Territory in the Twentieth Century. Chicago: University of Chicago Press. 2016.

    Williams, Sarah, Jacqueline Klopp, Daniel Orwa, Peter Waiganjo, and Adam White. “Digital Matatus: Using Mobile Technology to Visualize Informality.” ACSA Annual Meeting Proceedings, The Expanding Periphery and the Migrating Center, 2015, 9.

    Wood, Dennis. "Everything Sings: Maps for a Narrative Atlas." In Places Journal. 2011.

    Woods, Clyde Adrian., and Katherine. McKittrick. “No One Knows the Mysteries at the Bottom of the Ocean.” In Black Geographies and the Politics of Place. Toronto, Ont. : Cambridge, Mass.: Between the Lines ; South End Press, 2007.

    \ No newline at end of file diff --git a/resources/webmap-1/index.html b/resources/webmap-1/index.html index 465e611..4a42af7 100644 --- a/resources/webmap-1/index.html +++ b/resources/webmap-1/index.html @@ -1,5 +1,14 @@ -
    Webmaps Part 1 - Making a Basic Webmap<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Webmaps Part 1 - Making a Basic Webmap

    Step 1: Setting up Github and Mapbox

    This tutorial is an introduction to making web maps using Mapbox GL JS. This is a recent javascript library that uses WebGL to render interactive maps from vector tiles (as opposed to raster tiles) created with Mapbox Studio. Data for these maps comes from OpenStreetMap.

    This tutorial will introduce you to the basic setup and what it feels like to develop for a web browser, how to add datasets, and then how to make those datasets interactive. This will be a very different approach than your experience thus far in QGIS, and it is much more prone to error given the number of new concepts and syntaxes involved. Brackets, commas, quotes, and colons... stay with it—it's ok if you don't understand what everything is doing at first.

    Setup Prerequisites

    To publish the web map you will create in this tutorial we will use GitHub. This website provides hosting for software development (a website is a kind of software...) version control using Git. Git is a system for tracking changes in software development. (You can think of it like a very sophisticated version of Microsoft Word's track changes function, and in fact you can use it in this way for writing.) This tutorial will walk you through how to use Git with GitHub to track changes you make to your web map. However, it does not cover the mechanics of Git or GitHub.

    Using GitHub will allow us to easily host our web maps online, however it requires a bit of set up.

    At this stage, you should:

    1. create a GitHub account if you don't already have one
    2. create a new repository on GitHub
      • from the Your Profile page in your newly created github account select Repositories
      • select the green New button in the top right of the page
      • name this repository webmap_1
      • select Initialize this repository with a README
      • select Create Repository

    repository

    1. set up your repository as a GitHub page (a project site from scratch)
    • from the new repository you've just created select Settings
    • scroll down to GitHub Pages and select Master Branch as the Source

    1. install Git.

      • download and install the git version for your operating system. Follow the instructions of the installer.
      • Note that if you're using a Mac, this will just install the Git command-line program, which you can access through the Terminal app. On Windows, you'll get the command-line Git plus a new Terminal-like app called Git Bash.

    2. use Git in the Terminal or Git Bash to clone the repository you created on github.

      • On Mac open your terminal (Applications > Utilities > Terminal.app); on PC open Git Bash (Programs > Git > Git Bash, or search for it in the start menu).
      • and learned how to navigate;
      • navigate to the folder where you would like to create your web map.
      • set up git, type the following in your terminal/git bash:
        git config --global user.name 'Your Name'
        git config --global user.email 'email@wherever.com' (this email should match the one you used to set up Github)
      • cloned a local copy of your repository to your computer using git.
        • by typing: git clone https://github.com/yourusername/webmap_1

    Create empty files that will become your web map and commit your first changes, and push them to GitHub

    1. open your text editor (VS Code is a good one) and create three empty files titled index.html, style.css, and map.js. Save them in your webmap_1 folder. Your webmap_1 folder should look like this:

    initial folder

    1. add the files you just created to your repository, to do this in your Terminal/Git Bash type:
    • git add index.html style.css map.js
    1. "commit" and "push" your changes:
      • in Git Bash or Terminal type:
        • git commit -m 'initial import' -and then
        • git push
    2. view the result on your online github repository (the url should be github.com/yourusername/webmap_1) github page (the url should be yourgithubusername.github.io/webmap_1 but you can also find this in the settings of the repository you created on github). You should see something like this:

    initial webpage

    A web page

    HTML is the structure of a web page, css is the style, and javascript is the functionality or the interaction. Each of these are contained in text files with the appropriate extension—and they each have entirely different syntax. When you are creating a website you are creating a series of linked files that your browser downloads and uses to construct the display. These files can also come from remote resources, such as in the case of javascript libraries or map tiles.

    initial folder

    HTML is defined by a series of tags, which are either in the form <tag /> or <tag></tag>. A comment in HTML, which is simply a non-functional bit of text meant to explicate the code, is in the form <!-- comment -->. Reproduce the following in your index.html file using your text editor (you can copy and paste).

    <!DOCTYPE html> <!-- let the browser know this is an HTML file -->
+
    Webmaps Part 1 - Making a Basic Webmap<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024
    Webmaps Part 1 - Making a Basic Webmap
    Step 1: Setting up Github and Mapbox
    This tutorial is an introduction to making web maps using Mapbox GL JS. This is a recent javascript library that uses WebGL to render interactive maps from vector tiles (as opposed to raster tiles) created with Mapbox Studio. Data for these maps comes from OpenStreetMap.
    This tutorial will introduce you to the basic setup and what it feels like to develop for a web browser, how to add datasets, and then how to make those datasets interactive. This will be a very different approach than your experience thus far in QGIS, and it is much more prone to error given the number of new concepts and syntaxes involved. Brackets, commas, quotes, and colons... stay with it—it's ok if you don't understand what everything is doing at first.
    Setup Prerequisites
    To publish the web map you will create in this tutorial we will use GitHub. This website provides hosting for software development (a website is a kind of software...) version control using Git. Git is a system for tracking changes in software development. (You can think of it like a very sophisticated version of Microsoft Word's track changes function, and in fact you can use it in this way for writing.) This tutorial will walk you through how to use Git with GitHub to track changes you make to your web map. However, it does not cover the mechanics of Git or GitHub.
    Using GitHub will allow us to easily host our web maps online, however it requires a bit of set up.
    At this stage, you should:
    1. create a GitHub account if you don't already have one
    2. create a new repository on GitHub
      • from the Your Profile page in your newly created github account select Repositories
      • select the green New button in the top right of the page
      • name this repository webmap_1
      • select Initialize this repository with a README
      • select Create Repository  
    
+      
+  repository
+        
    1. set up your repository as a GitHub page (a project site from scratch)
    • from the new repository you've just created select Settings
    • scroll down to GitHub Pages and select Master Branch as the Source
    1. install Git.
      • download and install the git version for your operating system. Follow the instructions of the installer.
      • Note that if you're using a Mac, this will just install the Git command-line program, which you can access through the Terminal app. On Windows, you'll get the command-line Git plus a new Terminal-like app called Git Bash.
    2. use Git in the Terminal or Git Bash to clone the repository you created on github.
      • On Mac open your terminal (Applications > Utilities > Terminal.app); on PC open Git Bash (Programs > Git > Git Bash, or search for it in the start menu).
      • and learned how to navigate;
      • navigate to the folder where you would like to create your web map.
      • set up git, type the following in your terminal/git bash:
        git config --global user.name 'Your Name'
        git config --global user.email 'email@wherever.com' (this email should match the one you used to set up Github)
      • cloned a local copy of your repository to your computer using git.
        • by typing: git clone https://github.com/yourusername/webmap_1
    Create empty files that will become your web map and commit your first changes, and push them to GitHub
    1. open your text editor (VS Code is a good one) and create three empty files titled index.html, style.css, and map.js. Save them in your webmap_1 folder. Your webmap_1 folder should look like this:  
    
+      
+  initial folder
+    
    1. add the files you just created to your repository, to do this in your Terminal/Git Bash type:
    • git add index.html style.css map.js
    1. "commit" and "push" your changes:
      • in Git Bash or Terminal type:
        • git commit -m 'initial import'
+and then
        • git push  
    2. view the result on your online github repository (the url should be github.com/yourusername/webmap_1) github page (the url should be yourgithubusername.github.io/webmap_1 but you can also find this in the settings of the repository you created on github). You should see something like this:  
    initial webpage
    A web page
    HTML is the structure of a web page, css is the style, and javascript is the functionality or the interaction. Each of these are contained in text files with the appropriate extension—and they each have entirely different syntax. When you are creating a website you are creating a series of linked files that your browser downloads and uses to construct the display. These files can also come from remote resources, such as in the case of javascript libraries or map tiles.
    
+      
+  initial folder
+    
    HTML is defined by a series of tags, which are either in the form <tag /> or <tag></tag>. A comment in HTML, which is simply a non-functional bit of text meant to explicate the code, is in the form <!-- comment -->. Reproduce the following in your index.html file using your text editor (you can copy and paste).
    <!DOCTYPE html> <!-- let the browser know this is an HTML file -->
 
 <html>      <!-- everything else is enclosed in html tags -->
 <head>      <!-- the head is for metadata prior to building the page -->
@@ -73,7 +82,13 @@
 
    Unlike HTML and css, javascript is a programming language. HTML and css give important information to the browser, but they are like blueprints, whereas javascript is more like a recipe. Javascript will be our focus for the web mapping exercises. We are going to stop short of covering all general programming fundamentals, but you will learn how the various elements function and how to modify code to suit your purposes.
    console.log is a debug statement—it lets you write to the javascript console to keep track of what you're doing, which is a very helpful tool.
    At this point, we will create a local webserver so that we can view the webpage we just created.
    Create a local development server using Python:
    on Mac:
    • Open Terminal, then test to see what version of Python your computer has installed by typing python -V. Hit enter.
    • note whether your computer has python 2 or python 3 installed
    on Windows:
    • Open Command Prompt, then test to see what version of Python your computer has installed by typing python -V. Hit enter.
    If python is installed on your computer it will tell you which version is installed. Make a note of whether it is Python 2 or python 3.
    If your command prompt/terminal instead says something like 'python' is not recognized as an internal or external command,
 operable program or batch file. then you do not have Python installed and you will need to download it. Follow these instructions to download Python if it is not already installed.
    Once you have successfully confirmed that you have python installed, we will use it to create a local server to view our website from.
    Navigate to your webmap_1 folder from inside your Terminal or Command Prompt. To do this you will type cd followed by the path to your webmap folder. In my case this was:
    $ cd Documents/webmap_1
 
    Once you are inside your webmap_1 folder, type the appropriate command for your version of Python in Command Prompt or Terminal:
    Python 3: python -m http.server
-Python 2: python -m SimpleHTTPServer
    After you hit enter your Terminal/Command Prompt should say something like: Serving HTTP on 0.0.0.0 port 8000 ...
    Open your browser and navigate to: http://localhost:8000
    On the page itself you should see ... nothing.
    However, in your browser open View > Developer > JavaScript Console . You should see "Hello, world!" printed. This means that your map.js file has been successfully loaded and you are ready to start programming. If you see any error messages, check the format of your HTML and that the script tag which loads the Mapbox javascript are formatted correctly.
    Hello world
    Basic Mapbox GL JavaScript
    One more setup step: register a Mapbox account. Then find your "Default public token" under the "Access Tokens" tab, which you will use in your code.
    Default Token
    To begin, replace the debug statement in your map.js file with the following (minus the comments, which in js are designated by a leading //):
    'use strict'        // let the browser know we're serious
+Python 2: python -m SimpleHTTPServer
    After you hit enter your Terminal/Command Prompt should say something like: Serving HTTP on 0.0.0.0 port 8000 ...
    Open your browser and navigate to: http://localhost:8000
    On the page itself you should see ... nothing.
    However, in your browser open View > Developer > JavaScript Console . You should see "Hello, world!" printed. This means that your map.js file has been successfully loaded and you are ready to start programming. If you see any error messages, check the format of your HTML and that the script tag which loads the Mapbox javascript are formatted correctly.
    
+      
+  Hello world
+    
    Basic Mapbox GL JavaScript
    One more setup step: register a Mapbox account. Then find your "Default public token" under the "Access Tokens" tab, which you will use in your code.
    
+      
+  Default Token
+    
    To begin, replace the debug statement in your map.js file with the following (minus the comments, which in js are designated by a leading //):
    'use strict'        // let the browser know we're serious
 
 // debug statement letting us know the file is loaded
 console.log('Loaded map.js')
@@ -86,7 +101,10 @@
     center: [-73.93324, 40.80877],
     zoom: 14
 });
-
    Now we're cooking with gas. If you reload, you should see a map of Harlem (Web Mercator Projection). Have some fun zooming around.
    World map
    If you don't see a map, make sure you've followed the syntax exactly, and check for errors in your console. When programming, one misplaced character can break the whole thing (watch your commas and brackets!). The block of code we just added creates a new variable map which is a new instance of the Map object provided by the Mapbox javascript file we loaded in our HTML. "map" is actually an arbitrary name—you can choose whatever you want. A Map object has several attributes that we can change: container lets it know the HTML element that will become the map (in this case also called map), style defines a data source for the base map, and center and zoom define the starting coordinates for the map. Change these for map and see what happens.
    Other options for style:
    style: 'mapbox://styles/mapbox/basic-v9',
+
    Now we're cooking with gas. If you reload, you should see a map of Harlem (Web Mercator Projection). Have some fun zooming around.
    
+      
+  World map
+    
    If you don't see a map, make sure you've followed the syntax exactly, and check for errors in your console. When programming, one misplaced character can break the whole thing (watch your commas and brackets!). The block of code we just added creates a new variable map which is a new instance of the Map object provided by the Mapbox javascript file we loaded in our HTML. "map" is actually an arbitrary name—you can choose whatever you want. A Map object has several attributes that we can change: container lets it know the HTML element that will become the map (in this case also called map), style defines a data source for the base map, and center and zoom define the starting coordinates for the map. Change these for map and see what happens.
    Other options for style:
    style: 'mapbox://styles/mapbox/basic-v9',
 style: 'mapbox://styles/mapbox/outdoors-v10',
 style: 'mapbox://styles/mapbox/light-v9',
 style: 'mapbox://styles/mapbox/dark-v9',
@@ -116,7 +134,10 @@
     }
   })
 });
-
    A few things to note here:
    • map.on() is a method which listens for a specific type of event, in this case when the page loads (defined because we specified 'load'). This method waits for whatever we have defined to happen and then executes the 'function' we define. Here the function adds our datasource, and creates a new layer that shows our data.
    • with map.addSource we have defined a new data source and have given it the name 'blocks_data'
    • the 'data' resides at the location we just defined with our variable 'blocks_url'
    • with map.addLayer we are defining a new layer that will get added to our map. We have defined the 'id' to be 'blocks'. The 'type' of the layer is 'fill'. The 'source' is the 'blocks_data' source we defined with add.Source above. And finally 'paint' lets us define how our polygons are drawn.
    Save your map.js file and reload your browser. You should see the blocks!
    blocks
    Adding a geojson dataset of points to your map
    Next we will add a point layer.
    Save the geojson file of points that you plan to use in the data folder you have just created.
    The instructions below use the NYC street trees dataset that you used in tutorial 1 as an example. It is available in the class data folder.
    We will repeat the steps above that we used for the polygons:
    • load the dataset into your map object
    • create a new layer containing your geojson data and style it as you would like.
    First in your map.js file create a new variable containing the url of your point dataset). Place this just below the variable you created for your points dataset.
    var trees_url = "./data/2015_Street_Tree_Census_subset_um.geojson"
+
    A few things to note here:
    • map.on() is a method which listens for a specific type of event, in this case when the page loads (defined because we specified 'load'). This method waits for whatever we have defined to happen and then executes the 'function' we define. Here the function adds our datasource, and creates a new layer that shows our data.
    • with map.addSource we have defined a new data source and have given it the name 'blocks_data'
    • the 'data' resides at the location we just defined with our variable 'blocks_url'
    • with map.addLayer we are defining a new layer that will get added to our map. We have defined the 'id' to be 'blocks'. The 'type' of the layer is 'fill'. The 'source' is the 'blocks_data' source we defined with add.Source above. And finally 'paint' lets us define how our polygons are drawn.
    Save your map.js file and reload your browser. You should see the blocks!
    
+      
+  blocks
+    
    Adding a geojson dataset of points to your map
    Next we will add a point layer.
    Save the geojson file of points that you plan to use in the data folder you have just created.
    The instructions below use the NYC street trees dataset that you used in tutorial 1 as an example. It is available in the class data folder.
    We will repeat the steps above that we used for the polygons:
    • load the dataset into your map object
    • create a new layer containing your geojson data and style it as you would like.
    First in your map.js file create a new variable containing the url of your point dataset). Place this just below the variable you created for your points dataset.
    var trees_url = "./data/2015_Street_Tree_Census_subset_um.geojson"
 
    Next we will use the .addSource and .addLayer methods to add these points to our map.
    Inside the map.on('load') function that you defined above include the code snippet below. (Pay careful attention to making sure that you maintain the pairs of brackets and parentheses around each method when you do this).
      // define a 'source' for your point dataset
     map.addSource('trees_data',{
       'type':'geojson',
@@ -134,7 +155,10 @@
       },
     })
 
-
    Save your map.js file and reload your browser window. You should see the tree dataset you just added to your map!
    Trees
    Data - Driven Styling
    Now that we have our data on the map, we will want to style it using the data itself, similarly to how we did in QGIS.
    To do this, it may be useful to pull up the QGIS project from the first tutorial so we can reference the variables we styled from, and what the buckets were in each.
    Styling the block layers
    In the original tutorial, we joined the street trees dataset to the block groups, and then styled the fill of the blockgroups by the average diameter of tree on that block. 
    To do this in Mapbox GL JS, we fill just edit the fill-color property to have multiple steps, with colors associated for each. Copy and paste this over your entire block_data source + layer:
     // add a new layer with your polygons
+
    Save your map.js file and reload your browser window. You should see the tree dataset you just added to your map!
    
+      
+  Trees
+    
    Data - Driven Styling
    Now that we have our data on the map, we will want to style it using the data itself, similarly to how we did in QGIS.
    To do this, it may be useful to pull up the QGIS project from the first tutorial so we can reference the variables we styled from, and what the buckets were in each.
    Styling the block layers
    In the original tutorial, we joined the street trees dataset to the block groups, and then styled the fill of the blockgroups by the average diameter of tree on that block. 
    To do this in Mapbox GL JS, we fill just edit the fill-color property to have multiple steps, with colors associated for each. Copy and paste this over your entire block_data source + layer:
     // add a new layer with your polygons
   map.addLayer({
     'id':'blocks',
     'type':'fill',
@@ -156,7 +180,10 @@
       'fill-opacity': 0.5
     }
   })
-
      There are a couple of things going on here:
    • Instead of giving a single value for fill-color, we are styling across a property, which in this case is 'avg_diamet'. If nothing is showing for you, first check that your variable is named the same thing.
    • We get that variable with ['step', ['get', 'avg_diamet'], followed by our values. The first value, #ffffff is a fallback for 0, and the rest are the avg_diamet values I copied over from QGIS, followed by their respective color.
    • While I could have copied over colors from QGIS, I used ColorBrewer2 for map styles. 
    • The three lines that start with ['case perform the function of sorting out null values from the dataset, and making them white. Without this Mapbox would default to making them black. 
    • Lastly, there are many ways to do this correctly, this is just one of them. Don't get caught up too much in the specific syntax of this example and don't worry if you find something different online, both will probably work.
    Save your map, refresh if you need to, and you should see this:
    BlockDataStyle
    Styling the tree layers.
    Next, we will style the tree layers.
    This will be a bit more straight forward, because we are styling a numeric property, circle-radius', with another numeric property from our dataset tree_dbh`.
     Copy and paste this over your entire trees_data source + layer:
       // define a 'source' for your point dataset
+
      There are a couple of things going on here:
    • Instead of giving a single value for fill-color, we are styling across a property, which in this case is 'avg_diamet'. If nothing is showing for you, first check that your variable is named the same thing.
    • We get that variable with ['step', ['get', 'avg_diamet'], followed by our values. The first value, #ffffff is a fallback for 0, and the rest are the avg_diamet values I copied over from QGIS, followed by their respective color.
    • While I could have copied over colors from QGIS, I used ColorBrewer2 for map styles. 
    • The three lines that start with ['case perform the function of sorting out null values from the dataset, and making them white. Without this Mapbox would default to making them black. 
    • Lastly, there are many ways to do this correctly, this is just one of them. Don't get caught up too much in the specific syntax of this example and don't worry if you find something different online, both will probably work.
    Save your map, refresh if you need to, and you should see this:
    
+      
+  BlockDataStyle
+    
    Styling the tree layers.
    Next, we will style the tree layers.
    This will be a bit more straight forward, because we are styling a numeric property, circle-radius', with another numeric property from our dataset tree_dbh`.
     Copy and paste this over your entire trees_data source + layer:
       // define a 'source' for your point dataset
     map.addSource('trees_data',{
       'type':'geojson',
       'data': trees_url
@@ -172,7 +199,10 @@
         'circle-radius': ['/', ['get', 'tree_dbh'], 5],
       },
     })
-
    Here, all of the styling takes place in 'circle-radius': ['/', ['get', 'tree_dbh'], 5],. Originally I had 'circle-radius': ['get', 'tree_dbh'], which made the mapbox radius unit exactly the tree diameter in feet contained in the tree_dbh variable. This was comically large, so I the code around it divided that value by 5.
    After you'ved added that, your map should look like this. 
    TreeDataStyle
    Looks like I have a giant tree on 117th street, this could be the result of either an error in the original datset, an error in how we processed it, or a giant tree on 117th street that I haven't noticed before. You could fix this by either editing it in the dataset itself, or if it was important for you to maintain a direct proportion to the actual tree diameter, you could change the styling of circle-radius to buckets instead of a linear scale (like we did in QGIS.)
    Styling alternatives
    If you find all of that styling tedious, you're not alone! Luckily Mapbox also has a GUI that allows you to style a map called Mapbox Studio. There, you can style a layer, and then add it to your map.js using it's tilesetID.
+
    Here, all of the styling takes place in 'circle-radius': ['/', ['get', 'tree_dbh'], 5],. Originally I had 'circle-radius': ['get', 'tree_dbh'], which made the mapbox radius unit exactly the tree diameter in feet contained in the tree_dbh variable. This was comically large, so I the code around it divided that value by 5.
    After you'ved added that, your map should look like this. 
    
+      
+  TreeDataStyle
+    
    Looks like I have a giant tree on 117th street, this could be the result of either an error in the original datset, an error in how we processed it, or a giant tree on 117th street that I haven't noticed before. You could fix this by either editing it in the dataset itself, or if it was important for you to maintain a direct proportion to the actual tree diameter, you could change the styling of circle-radius to buckets instead of a linear scale (like we did in QGIS.)
    Styling alternatives
    If you find all of that styling tedious, you're not alone! Luckily Mapbox also has a GUI that allows you to style a map called Mapbox Studio. There, you can style a layer, and then add it to your map.js using it's tilesetID.
 This is sometimes quicker for simple maps with precise styling, but you lose some potential for interactiviy in the procress. Here is the Mapbox Documentation for that workflow.
    Pushing to Github
    Once you have created an map that you like lets publish it online by pushing our changes to GitHub. Open your terminal or command prompt. Make sure you are within the folder where you created your web map (in our case webmap_1).  
    • Type git add -A to 'track' all of the changes you made.   
    • To commit your changes type git commit -m "some note about the changes you made" and replace the information within the quotes with some note to yourself about the changes you made.  
    • Then push your changes to the server by typing git push.
    Visit your repository website at yourgithubusername.github.io/webmap_1 to check that all changes were pushed correctly.
    Adding Interactivity
    After completing the above portions of this tutorial you now should have a functioning web map. Congrats! With the help of some Javascript, we managed to get something similar to our QGIS static map onto the web by defining its content (raster and vector data) and style (symbology). Here we'll start to look at where Javascript really shines: defining behavior, interactivity and change over time in your web map.
    About Events
    One of the simplest forms of interactivity is to have something happen when you click an element on the page, or in this case, our map. Javascript uses the concept of events to define this kind of behavior. This is a two-part approach: you first need to designate an element on your page as an event listener, then provide instructions in the form of an event handler that say what to do when the event takes place. A basic example would look something like this:
    // listen for 'onclick' events from 'handler-element'
 document.getElementById('handler-element').onclick = handleEvent;
 
@@ -203,7 +233,10 @@
 map.on('mouseleave', 'trees', function() {
   map.getCanvas().style.cursor = '';
 });
-
    Now you should see a popup appear with the tree's species name whenever you click a tree on the map. Clicking another tree or clicking the 'x' on the popup should make the last popup disappear. Not bad for a couple lines of code. Notice that we can also control the appearance of the cursor to give the user a hint that some kind of interactivity is now built into the tree symbols. Thanks to the features in the library, we're able to do a surprising amount of work with just a couple of lines of code.
    Street trees with popup tags
    Other Mapbox GL Examples
    Now that we've seen the basics of how to define map behavior using functions in the Mapbox GL library, you can experiment with some of the many examples they provide and try to adapt them to your map. Here are a few suggestions:
    • You can adjust the opacity of a raster layer using the value property of a targeted slider to as an input to the map's setPaintProperty() function. Note that this example uses the plain Javascript event pattern outlined above since the behavior is for a single element outside of the map itself.
    • Or you can animate features on the map using two custom functions - one that defines position as a function of time and another which steps through frames of an animation, updating the position of an element with Map.getSource(...).setData(...) each time it runs.
    • Or animate the 'camera' with the flyTo() function which gradually changes the center and zoom properties of the Map over time.
    Using API Documentation
    As you start thinking about how you might want to develop your map further, you'll want to know more about what else you can do with MapboxGL. At a certain point, working through examples and tutorials will cease to be useful and you'll want a more direct way to explore what's available. Fortunately, every legitimate Javascript library comes with a catalog in the form of its API documentation. Sometimes you'll see this referred to as "the docs" for short, and it's always going to be the most detailed, comprehensive, up-to-date, and accurate source for information on the contents of a given library and how it's meant to be used.
    All of the objects, functions and properties in the library will be listed and described, often with examples, in a single online resource. So for example, if you wanted more details on how the flyTo function in the last example, you'd find it here under the instance members of the Map object. Not all API docs will do this, but Mapbox includes both links to related examples and short code snippets, which makes it even easier to learn. Feel free to explore this at your own pace and try adding some additional functionality to your map if you have the time and interest.
    Full Code
    Here is what your full map.js should look like in the end, and here is a live demo of it as well. Don't forget to put in your mapbox token!
    'use strict'        // let the browser know we're serious
+
    Now you should see a popup appear with the tree's species name whenever you click a tree on the map. Clicking another tree or clicking the 'x' on the popup should make the last popup disappear. Not bad for a couple lines of code. Notice that we can also control the appearance of the cursor to give the user a hint that some kind of interactivity is now built into the tree symbols. Thanks to the features in the library, we're able to do a surprising amount of work with just a couple of lines of code.
    
+      
+  Street trees with popup tags
+    
    Other Mapbox GL Examples
    Now that we've seen the basics of how to define map behavior using functions in the Mapbox GL library, you can experiment with some of the many examples they provide and try to adapt them to your map. Here are a few suggestions:
    • You can adjust the opacity of a raster layer using the value property of a targeted slider to as an input to the map's setPaintProperty() function. Note that this example uses the plain Javascript event pattern outlined above since the behavior is for a single element outside of the map itself.
    • Or you can animate features on the map using two custom functions - one that defines position as a function of time and another which steps through frames of an animation, updating the position of an element with Map.getSource(...).setData(...) each time it runs.
    • Or animate the 'camera' with the flyTo() function which gradually changes the center and zoom properties of the Map over time.
    Using API Documentation
    As you start thinking about how you might want to develop your map further, you'll want to know more about what else you can do with MapboxGL. At a certain point, working through examples and tutorials will cease to be useful and you'll want a more direct way to explore what's available. Fortunately, every legitimate Javascript library comes with a catalog in the form of its API documentation. Sometimes you'll see this referred to as "the docs" for short, and it's always going to be the most detailed, comprehensive, up-to-date, and accurate source for information on the contents of a given library and how it's meant to be used.
    All of the objects, functions and properties in the library will be listed and described, often with examples, in a single online resource. So for example, if you wanted more details on how the flyTo function in the last example, you'd find it here under the instance members of the Map object. Not all API docs will do this, but Mapbox includes both links to related examples and short code snippets, which makes it even easier to learn. Feel free to explore this at your own pace and try adding some additional functionality to your map if you have the time and interest.
    Full Code
    Here is what your full map.js should look like in the end, and here is a live demo of it as well. Don't forget to put in your mapbox token!
    'use strict'        // let the browser know we're serious
 
 // debug statement letting us know the file is loaded
 console.log('Loaded map.js')
@@ -293,4 +326,4 @@
   });
   
 
    Tutorial by Adam Vosburgh, Spring 2022.
    
-Adapted from tutorial written by Dare Brawley, Spring 2020 & by Brian House for Mapping for Architecture, Urbanism, and the Humanities, Fall 2018.
    
\ No newline at end of file
+Adapted from tutorial written by Dare Brawley, Spring 2020 & by Brian House for Mapping for Architecture, Urbanism, and the Humanities, Fall 2018.
    \ No newline at end of file diff --git a/resources/webmap-2/index.html b/resources/webmap-2/index.html index d8e452f..6ebf7f7 100644 --- a/resources/webmap-2/index.html +++ b/resources/webmap-2/index.html @@ -1,4 +1,4 @@ -
    Webmaps Part 2 - Scrollytelling Map<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Webmaps Part 2 - Scrollytelling Map

    Making a Scrollytelling map with Mapbox Storytelling

    Now that you have learned QGIS, Git, html, css, javascript and some Mapbox libraries, let's make a custom story map using Mapbox GL JS and Scrollarama.

    This is a format that has become exponentially more common over the past five years or so for telling stories through maps. While a number of newsrooms have used propietary tools built for this purpose for awhile, recently Mapbox implementation has lowered the barrier to entry a lot.

    The below animation is a fairly simple rendition of what this can look like, but they can easily get pretty immersive. See this NYT interactive for the insanely fancy, and this WaPo story for a very clever use of a self-collected dataset to tell a much larger story.

    Scrollytelling

    Setup

    Create a Mapbox Studio account

    Because it reduces the complexity of our setup, we'll be adding our data layers through mapbox studio. Make an account if you don't have one already, or login if you do. Later on, we will style our data layers again in mapbox studio, and add them to our map using their layer-id.

    While this method gets our maps up and running quicker, for those with a bit more experience and interested in a more flexible storytelling format, I recommend this tutorial from the GSAPP course Points Unknown (I also recommend taking the course!)

    File Setup

    We're going to build off of the last tutorial to build this, so make sure you have that up and running first, or download the completed repo here.

    We'll start by creating a new repo called webmap_2_storytelling, cloning it to your local filesystem, copying over the contents of webmap_1 into it, and starting a live server. If you have any trouble with this - refer to the beginning of the previous tutorial.

    By now, you should have the same file contents and result as you did from the last tutorial

    FileSetup

    To start, we will edit our index.html to include the correct setup for mapbox, and set up our map in a config.js instead of the map.js we were using earlier. We will be taking this code from the official Mapbox Storytelling repo.

    It is important to note that if some of this is confusing, that is fine. using something copy pasted from the internet without fully understanding what it does is totally par for the course, especially when it comes to niche javascript libraries.

    Editing index.html

    Copy and paste the entirety of this into your index.html. If your curious, this code comes from the src > index.html in the Mapbox Storytelling repo:

    <!DOCTYPE html>
+
    Webmaps Part 2 - Scrollytelling Map<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024
    Webmaps Part 2 - Scrollytelling Map
    Making a Scrollytelling map with Mapbox Storytelling
    Now that you have learned QGIS, Git, html, css, javascript and some Mapbox libraries, let's make a custom story map using Mapbox GL JS and Scrollarama. 
    This is a format that has become exponentially more common over the past five years or so for telling stories through maps. While a number of newsrooms have used propietary tools built for this purpose for awhile, recently Mapbox implementation has lowered the barrier to entry a lot.  
    The below animation is a fairly simple rendition of what this can look like, but they can easily get pretty immersive. See this NYT interactive for the insanely fancy, and this WaPo story for a very clever use of a self-collected dataset to tell a much larger story.
    Scrollytelling
    Setup
    Create a Mapbox Studio account
    Because it reduces the complexity of our setup, we'll be adding our data layers through mapbox studio. Make an account if you don't have one already, or login if you do. Later on, we will style our data layers again in mapbox studio, and add them to our map using their layer-id.
    While this method gets our maps up and running quicker, for those with a bit more experience and interested in a more flexible storytelling format, I recommend this tutorial from the GSAPP course Points Unknown (I also recommend taking the course!) 
    File Setup
    We're going to build off of the last tutorial to build this, so make sure you have that up and running first, or download the completed repo here.
    We'll start by creating a new repo called webmap_2_storytelling, cloning it to your local filesystem, copying over the contents of webmap_1 into it, and starting a live server. If you have any trouble with this - refer to the beginning of the previous tutorial.
    By now, you should have the same file contents and result as you did from the last tutorial
    FileSetup
    To start, we will edit our index.html to include the correct setup for mapbox, and set up our map in a config.js instead of the map.js we were using earlier. We will be taking this code from the official Mapbox Storytelling repo.
    It is important to note that if some of this is confusing, that is fine. using something copy pasted from the internet without fully understanding what it does is totally par for the course, especially when it comes to niche javascript libraries. 
    Editing index.html
    Copy and paste the entirety of this into your index.html. If your curious, this code comes from the src > index.html in the Mapbox Storytelling repo:
    <!DOCTYPE html>
 <html>
 <head>
     <meta charset='utf-8' />
@@ -396,8 +396,29 @@
         }`
     ]
 };
-
    With those two added, you'll want to add your accessToken where it currently says accessToken: 'YOUR_ACCESS_TOKEN',.  
    Once you do that, save and possibly refresh, you're all set up! Your map.js is no longer of any use to you, and you can feel free to delete it if you would like to keep your repo clean. You should have a template story with some basic animation in your browser, which looks something like this:
    MapboxTemplate
    Adding your Content
    Creating a Style and Adding it
    Next we'll start adding our own content to the map - and by this I mean our datasets. For this we'll go back to Mapbox Studio.
    In Mapbox Studio, click "New Style" and select your style. I'll go with Monochrome and the Light variation. One you make the map go ahead and give it a name, we'll only need one for the whole project, so I would name it the same thing, webmap_2_storytelling.
    MbStudioStyle
    Now that we have our base style, let's go ahead and add it to our storymap. On the top right, click Publish, click through that menu, and then click the Share button immediately to it's left. There you can copy the Style URL for your map, and then put it in your config.js.
    Now, any style changes that you make on your mapbox studio map will show in your storymap. Take note of the menus description of the difference between draft and production share urls - if you don't see change reflected right away on your map, that may be why. If you haven't done so yet, copy over your Access Token too. This should be the same one as you made earlier. 
    StyleUrl
    Adding and Styling data in Mapbox Studio
    Let's add the data we used in the previous tutorial. Tab over to the Layers menu on the left-hand toolbox, and hit the plus icon. In the next menu hit Source and then Upload Data. Upload our blocks_joined_trees_um.gejson dataset.
    TilesetID
    You should see the dataset being uploading in the bottom right-hand corner. Once it is done, enter the url under Add Source by ID, or by searching for it under Your Sources. If it doesn't work or you can't find it, give it a second until it is done processing. If you pan over to NYC, you should see the footprint of your dataset there.
    Once your dataset is added as a layer, click back onto the Style menu for that layer, and click Color. Select Style Across Data Range in the menu, and then a pop-up will ask which variable in the data range, select avg_diamet, or however you have the variable named. 
    DataRange
    Now, in a very similar fashion to QGIS, we will style the data as a gradient from small to large average radius per block. Select + Add another stop until we have five - you'll notice that the radius will already be determined based on the number of stops and the linear rate of change we have selected above. Now that we have those, let's select our colors. I will use ColorBrewer2 again.
    After we have our stops and colors added, lets drag our layer down so it is only above the Land, water & sky layers, so the other map data will be on top of the blocks. Lastly, you may notice that there are some black polygons left, if you remember in the last tutorial, we filtered these out by catching them with a null filter. However (to my knowledge) there is not a way of doing this in Mapbox Studio.
-While it will work for now, this means that for your own projects, you should filter out the null values when in QGIS before exporting, so you don't have to deal with that styling issue here.
    BLOCKSTYLE
    Now the Layer is added and ready to use. Lastly let's rename it so that it will be easy to reference in the storymap, I'm renaming it back to the dataset name, or blocks-joined-trees-um.
    Adding and Styling Another dataset
    Repeat the steps above but for your 2015_Street_Tree_Census_subset_um.geojson dataset. Instead of choosing Style across data range for color, we will select a single color and Style across data range for Radius, and use the tree_dbh variable.
    This time, the default values mapbox will give us when adding stops will be way too large, on account of an outlier in the dataset. Reference your QGIS project for good stops, for me that was 2.615, 6.444, 9.379, 15.036, and 26.000. For my size I used 1 to 5 px.
    Lastly, rename the layer so that it is easy to type, I did 2015-street-tree-census-subset, and move the layer so that it is below labels but above road geometries.
    TREESTYLE
    Make sure to hit Publish after you're finished with that. Okay, we're done with Mapbox Studio! Back to our text editor. 
    Making a storymap
    Step 1: Finding a Story
    This is probably the hardest part, and unfortunately not one that is possible for me to complete in the tutorial. For demo purposes, I'll tell a story about trees in uptown nyc. There are a lot of trees all over the world, so I think I'll start out at global scale, zoom in, and then turn on data layers one at a time. (Please make a story better than this.)
    Now that I have my title, I'll start by editing the titles and bylines. In my config.js this is everything above chapters, which we'll get to next. This is also where global settings for the story are defined and while this template doesn't have all it has some, so pay attention to some of those, like showMarkers, for example. I set that to false because I think it is distracting, while I set use3dTerrain to true.
    var config = {
+
    With those two added, you'll want to add your accessToken where it currently says accessToken: 'YOUR_ACCESS_TOKEN',.  
    Once you do that, save and possibly refresh, you're all set up! Your map.js is no longer of any use to you, and you can feel free to delete it if you would like to keep your repo clean. You should have a template story with some basic animation in your browser, which looks something like this:
    
+      
+  MapboxTemplate
+    
    Adding your Content
    Creating a Style and Adding it
    Next we'll start adding our own content to the map - and by this I mean our datasets. For this we'll go back to Mapbox Studio.
    In Mapbox Studio, click "New Style" and select your style. I'll go with Monochrome and the Light variation. One you make the map go ahead and give it a name, we'll only need one for the whole project, so I would name it the same thing, webmap_2_storytelling.
    
+      
+  MbStudioStyle
+    
    Now that we have our base style, let's go ahead and add it to our storymap. On the top right, click Publish, click through that menu, and then click the Share button immediately to it's left. There you can copy the Style URL for your map, and then put it in your config.js.
    Now, any style changes that you make on your mapbox studio map will show in your storymap. Take note of the menus description of the difference between draft and production share urls - if you don't see change reflected right away on your map, that may be why. If you haven't done so yet, copy over your Access Token too. This should be the same one as you made earlier. 
    
+      
+  StyleUrl
+    
    Adding and Styling data in Mapbox Studio
    Let's add the data we used in the previous tutorial. Tab over to the Layers menu on the left-hand toolbox, and hit the plus icon. In the next menu hit Source and then Upload Data. Upload our blocks_joined_trees_um.gejson dataset.
    
+      
+  TilesetID
+    
    You should see the dataset being uploading in the bottom right-hand corner. Once it is done, enter the url under Add Source by ID, or by searching for it under Your Sources. If it doesn't work or you can't find it, give it a second until it is done processing. If you pan over to NYC, you should see the footprint of your dataset there.
    Once your dataset is added as a layer, click back onto the Style menu for that layer, and click Color. Select Style Across Data Range in the menu, and then a pop-up will ask which variable in the data range, select avg_diamet, or however you have the variable named. 
    
+      
+  DataRange
+    
    Now, in a very similar fashion to QGIS, we will style the data as a gradient from small to large average radius per block. Select + Add another stop until we have five - you'll notice that the radius will already be determined based on the number of stops and the linear rate of change we have selected above. Now that we have those, let's select our colors. I will use ColorBrewer2 again.
    After we have our stops and colors added, lets drag our layer down so it is only above the Land, water & sky layers, so the other map data will be on top of the blocks. Lastly, you may notice that there are some black polygons left, if you remember in the last tutorial, we filtered these out by catching them with a null filter. However (to my knowledge) there is not a way of doing this in Mapbox Studio.
+While it will work for now, this means that for your own projects, you should filter out the null values when in QGIS before exporting, so you don't have to deal with that styling issue here.
    
+      
+  BLOCKSTYLE
+    
    Now the Layer is added and ready to use. Lastly let's rename it so that it will be easy to reference in the storymap, I'm renaming it back to the dataset name, or blocks-joined-trees-um.
    Adding and Styling Another dataset
    Repeat the steps above but for your 2015_Street_Tree_Census_subset_um.geojson dataset. Instead of choosing Style across data range for color, we will select a single color and Style across data range for Radius, and use the tree_dbh variable.
    This time, the default values mapbox will give us when adding stops will be way too large, on account of an outlier in the dataset. Reference your QGIS project for good stops, for me that was 2.615, 6.444, 9.379, 15.036, and 26.000. For my size I used 1 to 5 px.
    Lastly, rename the layer so that it is easy to type, I did 2015-street-tree-census-subset, and move the layer so that it is below labels but above road geometries.
    
+      
+  TREESTYLE
+    
    Make sure to hit Publish after you're finished with that. Okay, we're done with Mapbox Studio! Back to our text editor. 
    Making a storymap
    Step 1: Finding a Story
    This is probably the hardest part, and unfortunately not one that is possible for me to complete in the tutorial. For demo purposes, I'll tell a story about trees in uptown nyc. There are a lot of trees all over the world, so I think I'll start out at global scale, zoom in, and then turn on data layers one at a time. (Please make a story better than this.)
    Now that I have my title, I'll start by editing the titles and bylines. In my config.js this is everything above chapters, which we'll get to next. This is also where global settings for the story are defined and while this template doesn't have all it has some, so pay attention to some of those, like showMarkers, for example. I set that to false because I think it is distracting, while I set use3dTerrain to true.
    var config = {
     style: 'mapbox://styles/adamvosburgh/ckzm6ymoc001y15s707imeig0',
     accessToken: 'pk.eyJ1IjoiYWRhbXZvc2J1cmdoIiwiYSI6ImNrOGE5MDhudzAzcHozbW82cTRnY201ZWEifQ.SyIq-l5sw9Ew6mGRLgfp1w',
     showMarkers: false,
@@ -570,7 +591,10 @@
         }
     ]
 };
-
    Once you have that in and hit save, you should be able to read my story in it's entirety, it should look like this. If you still don't see anything, make sure that you hit publish on your map in Mapbox Studio, and then even after that it can take a few minutes to show up.
    I'll note a few things going on here:
    • Layers are added to the map using the Layer Name that we defined in Mapbox Studio. That is all we need to reference the data and its respective styling.
    • All of the work is being done by onChapterEnter, and setting the opactiy for that layer. I personally only use onChapterExit if I am switching a dataset out for every chapter. My approach is to define the opacity for a layer everytime that it changes - layers won't change unless you tell them to. 
    • One thing you need to think about is what happens when your reader scrolls back up too - you'll want to plan for that so they don't break the site.
    • A really useful tool for setting up the 'camera' is the Mapbox Location Helper.
    • To get the images I added to work, you'll need to add them to your repo. I placed them in a folder called 'img'. Here is the download link.
    • While you can add legends directly onto the map in html, the chapter image field is a really useful place to put legends.
    STORYMAP
    Step 3: Fine-Tune your Story Map
    Now that our map is up and running, we'll want to go back and spend some time styling our various html elements. This can all be done in your index.html, spefically under the <style> tag, where the css for each element is located.
    If you're not familiar with css, don't stress about it too much, but if you would like to change anything in particular, you can figure out the vast majority of what you need to change just by googling around for it. Even the best of web developers look up whether text color is color or text-color on a daily basis. A classic resource for webdev fundamentals is w3 schools.
    The End
    Congratulations! You now have a story map. Just in case there is anything you're troubleshooting, here is a live demo of what it should look like, and here's the config.js in it's entiretly: 
    var config = {
+
    Once you have that in and hit save, you should be able to read my story in it's entirety, it should look like this. If you still don't see anything, make sure that you hit publish on your map in Mapbox Studio, and then even after that it can take a few minutes to show up.
    I'll note a few things going on here:
    • Layers are added to the map using the Layer Name that we defined in Mapbox Studio. That is all we need to reference the data and its respective styling.
    • All of the work is being done by onChapterEnter, and setting the opactiy for that layer. I personally only use onChapterExit if I am switching a dataset out for every chapter. My approach is to define the opacity for a layer everytime that it changes - layers won't change unless you tell them to. 
    • One thing you need to think about is what happens when your reader scrolls back up too - you'll want to plan for that so they don't break the site.
    • A really useful tool for setting up the 'camera' is the Mapbox Location Helper.
    • To get the images I added to work, you'll need to add them to your repo. I placed them in a folder called 'img'. Here is the download link.
    • While you can add legends directly onto the map in html, the chapter image field is a really useful place to put legends.
    
+      
+  STORYMAP
+    
    Step 3: Fine-Tune your Story Map
    Now that our map is up and running, we'll want to go back and spend some time styling our various html elements. This can all be done in your index.html, spefically under the <style> tag, where the css for each element is located.
    If you're not familiar with css, don't stress about it too much, but if you would like to change anything in particular, you can figure out the vast majority of what you need to change just by googling around for it. Even the best of web developers look up whether text color is color or text-color on a daily basis. A classic resource for webdev fundamentals is w3 schools.
    The End
    Congratulations! You now have a story map. Just in case there is anything you're troubleshooting, here is a live demo of what it should look like, and here's the config.js in it's entiretly: 
    var config = {
     style: 'mapbox://styles/adamvosburgh/ckzm6ymoc001y15s707imeig0',
     accessToken: 'pk.eyJ1IjoiYWRhbXZvc2J1cmdoIiwiYSI6ImNrOGE5MDhudzAzcHozbW82cTRnY201ZWEifQ.SyIq-l5sw9Ew6mGRLgfp1w',
     showMarkers: false,
@@ -744,4 +768,4 @@
     ]
 };
 
    Looking forward to seeing what you make!
    Tutorial by Adam Vosburgh, Spring 2022.
    
-Written for Methods in Spatial Research, Spring 2022.
    
\ No newline at end of file
+Written for Methods in Spatial Research, Spring 2022.
    \ No newline at end of file diff --git a/resources/xyz-tiles/index.html b/resources/xyz-tiles/index.html index d43f18c..60d68e1 100644 --- a/resources/xyz-tiles/index.html +++ b/resources/xyz-tiles/index.html @@ -1 +1 @@ -
    XYZ Tiles<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    XYZ Tiles

    XYZ Tiles

    This information is also included in tutorial 3, but is here seperately to make it easier to find.

    XYZ tiles are layers comprised of multiple tiles that reside on a server and are made available to the public. When added to QGIS or another mapping service, what appears as a seamless map is actually a collection of many smaller images in a grid, delivered by a web server. The maps in Google Maps and other web mapping services are served as XYZ tiles. They are often useful for a quick basemap when exploring preliminary data, but as a general rule it is always good to eventually remove it and have just the right amount of information to communicate the purpose of the map.

    Open Street Maps is an open geographic database contributed to by volunteers. Let's add the default OSM (Open Street Map) XYZ Tile in QGIS, to get a basemap of streets and buildings, among other features.

    You can add XYZ tiles in the Browser Panel of QGIS. Right-click “XYZ Tiles” and select “New Connection”. Give your new connection a name like “Open Street Map”, and paste the following URL into the URL field:

    https://tile.openstreetmap.org/{z}/{x}/{y}.png

    You should now see your entry for Open Street Maps if you expand the XYZ option in the browser panel. Drag this to your layers panel to add it to your QGIS project.

    Other than the default Open Street Map raster tile, there are many more styles based off of that. Some notable ones are:

    • Stamen Toner (black and white): http://a.tile.stamen.com/toner/{z}/{x}/{y}.png
    • Stamen Terrain: http://a.tile.stamen.com/toner/{z}/{x}/{y}.png
    • Mapbox Satellite: https://api.mapbox.com/styles/v1/mapbox/satellite-v9/tiles/256/{z}/{x}/{y}@2x?access_token=MAPBOX_TOKEN_HERE This one requires an access token, which you can get for free with a mapbox account. Instructions here

    Resources compiled by Adam Vosburgh, Spring 2023.

    \ No newline at end of file +
    XYZ Tiles<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    XYZ Tiles

    XYZ Tiles

    This information is also included in tutorial 3, but is here seperately to make it easier to find.

    XYZ tiles are layers comprised of multiple tiles that reside on a server and are made available to the public. When added to QGIS or another mapping service, what appears as a seamless map is actually a collection of many smaller images in a grid, delivered by a web server. The maps in Google Maps and other web mapping services are served as XYZ tiles. They are often useful for a quick basemap when exploring preliminary data, but as a general rule it is always good to eventually remove it and have just the right amount of information to communicate the purpose of the map.

    Open Street Maps is an open geographic database contributed to by volunteers. Let's add the default OSM (Open Street Map) XYZ Tile in QGIS, to get a basemap of streets and buildings, among other features.

    You can add XYZ tiles in the Browser Panel of QGIS. Right-click “XYZ Tiles” and select “New Connection”. Give your new connection a name like “Open Street Map”, and paste the following URL into the URL field:

    https://tile.openstreetmap.org/{z}/{x}/{y}.png

    You should now see your entry for Open Street Maps if you expand the XYZ option in the browser panel. Drag this to your layers panel to add it to your QGIS project.

    Other than the default Open Street Map raster tile, there are many more styles based off of that. Some notable ones are:

    • Stamen Toner (black and white): http://a.tile.stamen.com/toner/{z}/{x}/{y}.png
    • Stamen Terrain: http://a.tile.stamen.com/toner/{z}/{x}/{y}.png
    • Mapbox Satellite: https://api.mapbox.com/styles/v1/mapbox/satellite-v9/tiles/256/{z}/{x}/{y}@2x?access_token=MAPBOX_TOKEN_HERE This one requires an access token, which you can get for free with a mapbox account. Instructions here

    Resources compiled by Adam Vosburgh, Spring 2023.

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    Making Data from Satellites

    Maps & Narrative

    New York Times Graphics Department map-forward stories:

    \ No newline at end of file diff --git a/tutorials/print-layout/index.html b/tutorials/print-layout/index.html index ed97402..ec070d8 100644 --- a/tutorials/print-layout/index.html +++ b/tutorials/print-layout/index.html @@ -28,4 +28,4 @@

    Notice difference between the grid and the graticule. Based on the projections and coordinate reference systems module can you interpret these differences?

    Add additional map elements

    Use the left toolbar to add a north arrow and a scale bar. Adjust the style and settings for each using the Item Properties menu for each element.

    Exporting

    It is possible to export a print layout in multiple formats including as a PDF, as an image file (in multiple formats), or in SVG format.

    Export options can be accessed via Layout in the top menu bar or the export buttons in the Layout toolbar (circled below).

    layout toolbar -

    Notes on workflow

    It is possible to use the print layout tool within QGIS to design visually compelling maps. However, it is generally much faster to use the print layout to: define a map/paper size, set the spatial scale of your map(s), and add any orienting map elements (scale, legend) and then export to continue your work in a dedicated graphics editing software.

    Exporting maps with vector-based data in SVG format allows you to edit the representation of your data in Illustrator or another vector graphics software.

    Any raster-based data should be exported separately as in a high resolution image format which can be layered in your graphics editor of choice with any vector-based elements.

    Further resources

    Print-layout how-to:

    • The QGIS documentation has a detailed overview to the Print Layout tool, available via the docs here

    Map design more generally:

    • Mark Monmonier's How to Lie with Maps is a classic now in its 3rd edition on concerns and approaches for cartography and cartographic design.
    • In cartography (as with all design work) being able to produce thoughtful projects begins by developing visual literacies and fluency with cartographic conventions and how to subvert or extend them. The best way to approach this is to look at many many precedent projects. Historical and/or maps designed for print are often a good starting point as they tend to be more thoughtful in their use of cartographic elements than maps designed for the web. David Rumsey Map Collection is a good source for archival maps with global coverage. Spend time with atlases and search for cartographers whose visual style you like.

    Optional challenge: build and use an atlas of references

    1. Locate at least five to ten examples (the more the better!) of maps you find visually compelling, especially clear in their narrative, or otherwise enjoy looking at. Design a method for keeping track of these examples and their sources (for example: are.na channel, a well organized folder structure, or a Zotero library).

    2. In conjunction with the challenge for the Mapping Where module: choose 2-3 individual elements from within your reference atlas and apply them in the design of your Four Views of Trees in New York City.

    Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2023.

    \ No newline at end of file +

    Notes on workflow

    It is possible to use the print layout tool within QGIS to design visually compelling maps. However, it is generally much faster to use the print layout to: define a map/paper size, set the spatial scale of your map(s), and add any orienting map elements (scale, legend) and then export to continue your work in a dedicated graphics editing software.

    Exporting maps with vector-based data in SVG format allows you to edit the representation of your data in Illustrator or another vector graphics software.

    Any raster-based data should be exported separately as in a high resolution image format which can be layered in your graphics editor of choice with any vector-based elements.

    Further resources

    Print-layout how-to:

    • The QGIS documentation has a detailed overview to the Print Layout tool, available via the docs here

    Map design more generally:

    • Mark Monmonier's How to Lie with Maps is a classic now in its 3rd edition on concerns and approaches for cartography and cartographic design.
    • In cartography (as with all design work) being able to produce thoughtful projects begins by developing visual literacies and fluency with cartographic conventions and how to subvert or extend them. The best way to approach this is to look at many many precedent projects. Historical and/or maps designed for print are often a good starting point as they tend to be more thoughtful in their use of cartographic elements than maps designed for the web. David Rumsey Map Collection is a good source for archival maps with global coverage. Spend time with atlases and search for cartographers whose visual style you like.

    Optional challenge: build and use an atlas of references

    1. Locate at least five to ten examples (the more the better!) of maps you find visually compelling, especially clear in their narrative, or otherwise enjoy looking at. Design a method for keeping track of these examples and their sources (for example: are.na channel, a well organized folder structure, or a Zotero library).

    2. In conjunction with the challenge for the Mapping Where module: choose 2-3 individual elements from within your reference atlas and apply them in the design of your Four Views of Trees in New York City.

    Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2023.

    \ No newline at end of file diff --git a/tutorials/python/index.html b/tutorials/python/index.html index ac8194e..7e57982 100644 --- a/tutorials/python/index.html +++ b/tutorials/python/index.html @@ -1,4 +1,4 @@
    Mapping in Python - Pandas and Altair<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Mapping in Python - Pandas and Altair

    Under Construction

    Check back shortly!

    Under Construction Cat -

    \ No newline at end of file +

    \ No newline at end of file diff --git a/tutorials/satellites/index.html b/tutorials/satellites/index.html index 7c9c270..44b4dc1 100644 --- a/tutorials/satellites/index.html +++ b/tutorials/satellites/index.html @@ -45,4 +45,4 @@

    The combination of bands 6-4-2 is particularly well suited for looking at agriculture -- vegetation appears as shades of green and urban areas or bare soil appear as brown/magenta.

    agriculture -

    Export false color composites

    To export a false color composite as a GeoTiff image (that freezes the given false color composite you've chosen) right click on the virtual band set in the layers menu. Select save as and choose rendered image as your output mode, and select a location and file name to save the image. This false color composite is now saved, you no longer have access to the raw data of each of the Landsat bands that originally comprised it but you can work with it as a base map or for other uses or bring it into a different program.

    If you'd like you can repeat the steps above on the second Landsat image bundle we downloaded to compare false color composites before and after Hurricane Maria to see the visible flooding.

    Take it further: supervised classification

    Beyond false color composites researchers use the spectral signatures for different features of the earths surface to classify land use and land cover and a variety of other phenomena. The USGS for example produces and maintains data on land use and land cover which it creates using Landsat and other remotely sensed data.

    You can create your specific land use classifications using something called supervised classification. This is beyond the required scope of this assignment but if you are interested in going further please follow the instructions for using the SCP for creating your own land use classification contained in this external tutorial produced by the Applied Remote Sensing Training Program at NASAhere

    Assignment

    Create a map using Landsat Satellite imagery that shows land use change over time. Download two (or more!) images captured by the Landsat 8 satellite of the same location on different dates, import them into QGIS and symbolize with a false color composite that helps to highlight a change in the landscape that is visible in your chosen location.

    Requirements

    • Your final work must be a designed map composition (gifs are okay here too)
    • Your designed map composition must include:
      • title
      • legend
      • scale bar
      • north arrow (your map doesn't need to have north pointing vertically...)
      • citations for all data sources (please use Chicago style or an equivalent)
      • projection used

    Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2024.

    \ No newline at end of file +

    Export false color composites

    To export a false color composite as a GeoTiff image (that freezes the given false color composite you've chosen) right click on the virtual band set in the layers menu. Select save as and choose rendered image as your output mode, and select a location and file name to save the image. This false color composite is now saved, you no longer have access to the raw data of each of the Landsat bands that originally comprised it but you can work with it as a base map or for other uses or bring it into a different program.

    If you'd like you can repeat the steps above on the second Landsat image bundle we downloaded to compare false color composites before and after Hurricane Maria to see the visible flooding.

    Take it further: supervised classification

    Beyond false color composites researchers use the spectral signatures for different features of the earths surface to classify land use and land cover and a variety of other phenomena. The USGS for example produces and maintains data on land use and land cover which it creates using Landsat and other remotely sensed data.

    You can create your specific land use classifications using something called supervised classification. This is beyond the required scope of this assignment but if you are interested in going further please follow the instructions for using the SCP for creating your own land use classification contained in this external tutorial produced by the Applied Remote Sensing Training Program at NASAhere

    Assignment

    Create a map using Landsat Satellite imagery that shows land use change over time. Download two (or more!) images captured by the Landsat 8 satellite of the same location on different dates, import them into QGIS and symbolize with a false color composite that helps to highlight a change in the landscape that is visible in your chosen location.

    Requirements

    • Your final work must be a designed map composition (gifs are okay here too)
    • Your designed map composition must include:
      • title
      • legend
      • scale bar
      • north arrow (your map doesn't need to have north pointing vertically...)
      • citations for all data sources (please use Chicago style or an equivalent)
      • projection used

    Module by Dare Brawley, fall 2021. Updated by Adam Vosburgh, Spring 2024.

    \ No newline at end of file diff --git a/tutorials/street-view/index.html b/tutorials/street-view/index.html index 74dcdca..a927648 100644 --- a/tutorials/street-view/index.html +++ b/tutorials/street-view/index.html @@ -1,4 +1,4 @@
    Making Data from Street View<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Making Data from Street View

    Under Construction

    Check back shortly!

    Under Construction Cat -

    \ No newline at end of file +

    \ No newline at end of file diff --git a/tutorials/syllabus/index.html b/tutorials/syllabus/index.html index b6d0942..015832f 100644 --- a/tutorials/syllabus/index.html +++ b/tutorials/syllabus/index.html @@ -14,4 +14,4 @@ Weekly map assignments will allow you to apply the skills acquired via tutorials and begin to experiment with creative applications of spatial methods. Five map assignments will be completed over the course of the six week course and as such are intended to be limited in scope; experimental; and geared towards learning and creative engagement rather than demonstrating advanced skills. Assignment descriptions and associated assessment rubrics will be distributed each week.

    For the final course session you will assemble your map assignments into a single document/portfolio/atlas.

    Software

    Geographic Information Systems is not a software. As such this course will not seek to provide students with proficiency in a particular software platform.
    Tutorial resources will be primarily provided for QGIS 3.16 (LTR). This is an open source software program for geographic analysis that runs on Windows, Mac, and Linux operating systems. All students will be expected to download and install QGIS 3.16 (LTR). Documentation for QGIS is available here, and a training manual with good basic tutorials is available here and an introduction to GIS methods using QGIS is available here. Information regarding other GIS softwares will be provided in course resources.
    -Knowledge of design and layout programs (Adobe Illustrator, and InDesign) may be useful to you but is not required.

    Course google drive folder

    All readings and course data will be available via Google Drive here.

    Academic Integrity

    The intellectual venture in which we are all engaged requires of faculty and students alike the highest level of personal and academic integrity. As members of an academic community, each one of us bears the responsibility to participate in scholarly discourse and research in a manner characterized by intellectual honesty and scholarly integrity.

    Scholarship, by its very nature, is an iterative process, with ideas and insights building one upon the other. Collaborative scholarship requires the study of other scholars' work, the free discussion of such work, and the explicit acknowledgement of those ideas in any work that inform our own. This exchange of ideas relies upon a mutual trust that sources, opinions, facts, and insights will be properly noted and carefully credited.

    In practical terms, this means that, as students, you must be responsible for the full citations of others' ideas in all of your research papers and projects; you must be scrupulously honest when taking your examinations; you must always submit your own work and not that of another student, scholar, or internet agent.

    Any breach of this intellectual responsibility is a breach of faith with the rest of our academic community. It undermines our shared intellectual culture, and it cannot be tolerated. Students failing to meet these responsibilities should anticipate being asked to leave Columbia.

    For more information on academic integrity at Columbia, students may refer to the Columbia University Undergraduate Guide to Academic Integrity as well as the GSAPP Honor System and Plagiarism Policy.

    Community & Accessibility

    This is a discussion and collaborative-critique based course. All students and the instructor must be respectful of others in the classroom. If you ever feel that the classroom environment is discouraging your participation or is problematic in anyway please contact me.

    GSAPP is committed to full inclusion of all students. Students needing any form of accommodation due to a disability should check in with Disability Services (DS) and speak with me at the beginning of the semester to provide the accommodations letter from DS. Alternatively you may ask your advisor to consult with me regarding your accommodations.

    Email Policy

    Students should not rely on or expect an immediate response to questions sent via email to the instructor. Please begin assignments with enough time to attend office hours or ask a question several days before the assignment is due.

    Learning how to troubleshoot technical issues and locate relevant resources is crucial in your long-term success with GIS methods. With this in mind emails with technical questions must at a minimum contain the following:

    • a clear description of what you are trying to do, and what the problem is
    • a summary of the steps you have already taken to address the issue
    • screenshots (where applicable) that help to explain the problem
    • a link to at least one website you consulted for assistance with the issue before writing the email.The QGIS docs is a good starting place as is GIS Stack Exchange.

    Bibliography

    Baics, Gergely, and Leah Meisterlin. “Zoning Before Zoning: Land Use and Density in Mid-Nineteenth-Century New York City.” Annals of the American Association of Geographers 106, no. 5 (September 2, 2016): 1152–75.

    Battle-Baptiste, Whitney, and Britt Rusert, eds. W.E.B. Du Bois’s Data Portraits: Visualizing Black America: The Color Line at the Turn of the Twentieth Century. First edition. [Amherst, Massachusetts] : Hudson, NY: The W.E.B. Du Bois Center at the University of Massachusetts Amherst ; Princeton Architectural Press, 2018.

    Corner, James. “The Agency of Mapping.” In Landscape Imagination: Collected Essays of James Corner 1990-2010. New York, UNITED STATES: Princeton Architectural Press, 2014.

    Couclelis, Helen. “People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS.” In Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, edited by A. U. Frank, I. Campari, and U. Formentini, 639:65–77. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.

    Desimini, Jill, and Charles Waldheim. “Introduction: Projecting the Landscape Imaginary.” In Cartographic Grounds : Projecting the Landscape Imaginary. New York: Princeton Architectural Press, 2016.

    Ferrari, Marco, Elisa Pasqual, and Andrea Bagnato. A Moving Border: Alpine Cartographies of Climate Change. New York, NY: Columbia Books on Architecture and the City, 2019.

    House, Brian. "Stalking the Smart City." Urban Omnibus 2019

    Kurgan, Laura. “Mapping Considered as a Problem of Theory and Practice.” In Close up at a Distance : Mapping, Technology, and Politics, 9–18. Brooklyn, NY: Zone Books, 2013.

    MĂśrtenbĂśck, Peter, and Helge Mooshammer, eds. Informal Market Worlds: The Architecture of Economic Pressure. Rotterdam: NAI010 Publishers, 2015.

    Rankin, William. "Introduction Territory and the Mapping Sciences" in After The Map: Cartography, Navigation, and the Transformation of Territory in the Twentieth Century. Chicago: University of Chicago Press. 2016.

    Williams, Sarah, Jacqueline Klopp, Daniel Orwa, Peter Waiganjo, and Adam White. “Digital Matatus: Using Mobile Technology to Visualize Informality.” ACSA Annual Meeting Proceedings, The Expanding Periphery and the Migrating Center, 2015, 9.

    Wood, Dennis. "Everything Sings: Maps for a Narrative Atlas." In Places Journal. 2011.

    Woods, Clyde Adrian., and Katherine. McKittrick. “No One Knows the Mysteries at the Bottom of the Ocean.” In Black Geographies and the Politics of Place. Toronto, Ont. : Cambridge, Mass.: Between the Lines ; South End Press, 2007.

    \ No newline at end of file +Knowledge of design and layout programs (Adobe Illustrator, and InDesign) may be useful to you but is not required.

    Course google drive folder

    All readings and course data will be available via Google Drive here.

    Academic Integrity

    The intellectual venture in which we are all engaged requires of faculty and students alike the highest level of personal and academic integrity. As members of an academic community, each one of us bears the responsibility to participate in scholarly discourse and research in a manner characterized by intellectual honesty and scholarly integrity.

    Scholarship, by its very nature, is an iterative process, with ideas and insights building one upon the other. Collaborative scholarship requires the study of other scholars' work, the free discussion of such work, and the explicit acknowledgement of those ideas in any work that inform our own. This exchange of ideas relies upon a mutual trust that sources, opinions, facts, and insights will be properly noted and carefully credited.

    In practical terms, this means that, as students, you must be responsible for the full citations of others' ideas in all of your research papers and projects; you must be scrupulously honest when taking your examinations; you must always submit your own work and not that of another student, scholar, or internet agent.

    Any breach of this intellectual responsibility is a breach of faith with the rest of our academic community. It undermines our shared intellectual culture, and it cannot be tolerated. Students failing to meet these responsibilities should anticipate being asked to leave Columbia.

    For more information on academic integrity at Columbia, students may refer to the Columbia University Undergraduate Guide to Academic Integrity as well as the GSAPP Honor System and Plagiarism Policy.

    Community & Accessibility

    This is a discussion and collaborative-critique based course. All students and the instructor must be respectful of others in the classroom. If you ever feel that the classroom environment is discouraging your participation or is problematic in anyway please contact me.

    GSAPP is committed to full inclusion of all students. Students needing any form of accommodation due to a disability should check in with Disability Services (DS) and speak with me at the beginning of the semester to provide the accommodations letter from DS. Alternatively you may ask your advisor to consult with me regarding your accommodations.

    Email Policy

    Students should not rely on or expect an immediate response to questions sent via email to the instructor. Please begin assignments with enough time to attend office hours or ask a question several days before the assignment is due.

    Learning how to troubleshoot technical issues and locate relevant resources is crucial in your long-term success with GIS methods. With this in mind emails with technical questions must at a minimum contain the following:

    • a clear description of what you are trying to do, and what the problem is
    • a summary of the steps you have already taken to address the issue
    • screenshots (where applicable) that help to explain the problem
    • a link to at least one website you consulted for assistance with the issue before writing the email.The QGIS docs is a good starting place as is GIS Stack Exchange.

    Bibliography

    Baics, Gergely, and Leah Meisterlin. “Zoning Before Zoning: Land Use and Density in Mid-Nineteenth-Century New York City.” Annals of the American Association of Geographers 106, no. 5 (September 2, 2016): 1152–75.

    Battle-Baptiste, Whitney, and Britt Rusert, eds. W.E.B. Du Bois’s Data Portraits: Visualizing Black America: The Color Line at the Turn of the Twentieth Century. First edition. [Amherst, Massachusetts] : Hudson, NY: The W.E.B. Du Bois Center at the University of Massachusetts Amherst ; Princeton Architectural Press, 2018.

    Corner, James. “The Agency of Mapping.” In Landscape Imagination: Collected Essays of James Corner 1990-2010. New York, UNITED STATES: Princeton Architectural Press, 2014.

    Couclelis, Helen. “People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS.” In Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, edited by A. U. Frank, I. Campari, and U. Formentini, 639:65–77. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.

    Desimini, Jill, and Charles Waldheim. “Introduction: Projecting the Landscape Imaginary.” In Cartographic Grounds : Projecting the Landscape Imaginary. New York: Princeton Architectural Press, 2016.

    Ferrari, Marco, Elisa Pasqual, and Andrea Bagnato. A Moving Border: Alpine Cartographies of Climate Change. New York, NY: Columbia Books on Architecture and the City, 2019.

    House, Brian. "Stalking the Smart City." Urban Omnibus 2019

    Kurgan, Laura. “Mapping Considered as a Problem of Theory and Practice.” In Close up at a Distance : Mapping, Technology, and Politics, 9–18. Brooklyn, NY: Zone Books, 2013.

    MĂśrtenbĂśck, Peter, and Helge Mooshammer, eds. Informal Market Worlds: The Architecture of Economic Pressure. Rotterdam: NAI010 Publishers, 2015.

    Rankin, William. "Introduction Territory and the Mapping Sciences" in After The Map: Cartography, Navigation, and the Transformation of Territory in the Twentieth Century. Chicago: University of Chicago Press. 2016.

    Williams, Sarah, Jacqueline Klopp, Daniel Orwa, Peter Waiganjo, and Adam White. “Digital Matatus: Using Mobile Technology to Visualize Informality.” ACSA Annual Meeting Proceedings, The Expanding Periphery and the Migrating Center, 2015, 9.

    Wood, Dennis. "Everything Sings: Maps for a Narrative Atlas." In Places Journal. 2011.

    Woods, Clyde Adrian., and Katherine. McKittrick. “No One Knows the Mysteries at the Bottom of the Ocean.” In Black Geographies and the Politics of Place. Toronto, Ont. : Cambridge, Mass.: Between the Lines ; South End Press, 2007.

    \ No newline at end of file diff --git a/tutorials/webmap-1/index.html b/tutorials/webmap-1/index.html index ceda68f..bd3bb9f 100644 --- a/tutorials/webmap-1/index.html +++ b/tutorials/webmap-1/index.html @@ -1,5 +1,14 @@ -
    Webmaps Part 1 - Making a Basic Webmap<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Webmaps Part 1 - Making a Basic Webmap

    Step 1: Setting up Github and Mapbox

    This tutorial is an introduction to making web maps using Mapbox GL JS. This is a recent javascript library that uses WebGL to render interactive maps from vector tiles (as opposed to raster tiles) created with Mapbox Studio. Data for these maps comes from OpenStreetMap.

    This tutorial will introduce you to the basic setup and what it feels like to develop for a web browser, how to add datasets, and then how to make those datasets interactive. This will be a very different approach than your experience thus far in QGIS, and it is much more prone to error given the number of new concepts and syntaxes involved. Brackets, commas, quotes, and colons... stay with it—it's ok if you don't understand what everything is doing at first.

    Setup Prerequisites

    To publish the web map you will create in this tutorial we will use GitHub. This website provides hosting for software development (a website is a kind of software...) version control using Git. Git is a system for tracking changes in software development. (You can think of it like a very sophisticated version of Microsoft Word's track changes function, and in fact you can use it in this way for writing.) This tutorial will walk you through how to use Git with GitHub to track changes you make to your web map. However, it does not cover the mechanics of Git or GitHub.

    Using GitHub will allow us to easily host our web maps online, however it requires a bit of set up.

    At this stage, you should:

    1. create a GitHub account if you don't already have one
    2. create a new repository on GitHub
      • from the Your Profile page in your newly created github account select Repositories
      • select the green New button in the top right of the page
      • name this repository webmap_1
      • select Initialize this repository with a README
      • select Create Repository

    repository

    1. set up your repository as a GitHub page (a project site from scratch)
    • from the new repository you've just created select Settings
    • scroll down to GitHub Pages and select Master Branch as the Source

    1. install Git.

      • download and install the git version for your operating system. Follow the instructions of the installer.
      • Note that if you're using a Mac, this will just install the Git command-line program, which you can access through the Terminal app. On Windows, you'll get the command-line Git plus a new Terminal-like app called Git Bash.

    2. use Git in the Terminal or Git Bash to clone the repository you created on github.

      • On Mac open your terminal (Applications > Utilities > Terminal.app); on PC open Git Bash (Programs > Git > Git Bash, or search for it in the start menu).
      • and learned how to navigate;
      • navigate to the folder where you would like to create your web map.
      • set up git, type the following in your terminal/git bash:
        git config --global user.name 'Your Name'
        git config --global user.email 'email@wherever.com' (this email should match the one you used to set up Github)
      • cloned a local copy of your repository to your computer using git.
        • by typing: git clone https://github.com/yourusername/webmap_1

    Create empty files that will become your web map and commit your first changes, and push them to GitHub

    1. open your text editor (VS Code is a good one) and create three empty files titled index.html, style.css, and map.js. Save them in your webmap_1 folder. Your webmap_1 folder should look like this:

    initial folder

    1. add the files you just created to your repository, to do this in your Terminal/Git Bash type:
    • git add index.html style.css map.js
    1. "commit" and "push" your changes:
      • in Git Bash or Terminal type:
        • git commit -m 'initial import' -and then
        • git push
    2. view the result on your online github repository (the url should be github.com/yourusername/webmap_1) github page (the url should be yourgithubusername.github.io/webmap_1 but you can also find this in the settings of the repository you created on github). You should see something like this:

    initial webpage

    A web page

    HTML is the structure of a web page, css is the style, and javascript is the functionality or the interaction. Each of these are contained in text files with the appropriate extension—and they each have entirely different syntax. When you are creating a website you are creating a series of linked files that your browser downloads and uses to construct the display. These files can also come from remote resources, such as in the case of javascript libraries or map tiles.

    initial folder

    HTML is defined by a series of tags, which are either in the form <tag /> or <tag></tag>. A comment in HTML, which is simply a non-functional bit of text meant to explicate the code, is in the form <!-- comment -->. Reproduce the following in your index.html file using your text editor (you can copy and paste).

    <!DOCTYPE html> <!-- let the browser know this is an HTML file -->
+
    Webmaps Part 1 - Making a Basic Webmap<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024
    Webmaps Part 1 - Making a Basic Webmap
    Step 1: Setting up Github and Mapbox
    This tutorial is an introduction to making web maps using Mapbox GL JS. This is a recent javascript library that uses WebGL to render interactive maps from vector tiles (as opposed to raster tiles) created with Mapbox Studio. Data for these maps comes from OpenStreetMap.
    This tutorial will introduce you to the basic setup and what it feels like to develop for a web browser, how to add datasets, and then how to make those datasets interactive. This will be a very different approach than your experience thus far in QGIS, and it is much more prone to error given the number of new concepts and syntaxes involved. Brackets, commas, quotes, and colons... stay with it—it's ok if you don't understand what everything is doing at first.
    Setup Prerequisites
    To publish the web map you will create in this tutorial we will use GitHub. This website provides hosting for software development (a website is a kind of software...) version control using Git. Git is a system for tracking changes in software development. (You can think of it like a very sophisticated version of Microsoft Word's track changes function, and in fact you can use it in this way for writing.) This tutorial will walk you through how to use Git with GitHub to track changes you make to your web map. However, it does not cover the mechanics of Git or GitHub.
    Using GitHub will allow us to easily host our web maps online, however it requires a bit of set up.
    At this stage, you should:
    1. create a GitHub account if you don't already have one
    2. create a new repository on GitHub
      • from the Your Profile page in your newly created github account select Repositories
      • select the green New button in the top right of the page
      • name this repository webmap_1
      • select Initialize this repository with a README
      • select Create Repository  
    
+      
+  repository
+        
    1. set up your repository as a GitHub page (a project site from scratch)
    • from the new repository you've just created select Settings
    • scroll down to GitHub Pages and select Master Branch as the Source
    1. install Git.
      • download and install the git version for your operating system. Follow the instructions of the installer.
      • Note that if you're using a Mac, this will just install the Git command-line program, which you can access through the Terminal app. On Windows, you'll get the command-line Git plus a new Terminal-like app called Git Bash.
    2. use Git in the Terminal or Git Bash to clone the repository you created on github.
      • On Mac open your terminal (Applications > Utilities > Terminal.app); on PC open Git Bash (Programs > Git > Git Bash, or search for it in the start menu).
      • and learned how to navigate;
      • navigate to the folder where you would like to create your web map.
      • set up git, type the following in your terminal/git bash:
        git config --global user.name 'Your Name'
        git config --global user.email 'email@wherever.com' (this email should match the one you used to set up Github)
      • cloned a local copy of your repository to your computer using git.
        • by typing: git clone https://github.com/yourusername/webmap_1
    Create empty files that will become your web map and commit your first changes, and push them to GitHub
    1. open your text editor (VS Code is a good one) and create three empty files titled index.html, style.css, and map.js. Save them in your webmap_1 folder. Your webmap_1 folder should look like this:  
    
+      
+  initial folder
+    
    1. add the files you just created to your repository, to do this in your Terminal/Git Bash type:
    • git add index.html style.css map.js
    1. "commit" and "push" your changes:
      • in Git Bash or Terminal type:
        • git commit -m 'initial import'
+and then
        • git push  
    2. view the result on your online github repository (the url should be github.com/yourusername/webmap_1) github page (the url should be yourgithubusername.github.io/webmap_1 but you can also find this in the settings of the repository you created on github). You should see something like this:  
    initial webpage
    A web page
    HTML is the structure of a web page, css is the style, and javascript is the functionality or the interaction. Each of these are contained in text files with the appropriate extension—and they each have entirely different syntax. When you are creating a website you are creating a series of linked files that your browser downloads and uses to construct the display. These files can also come from remote resources, such as in the case of javascript libraries or map tiles.
    
+      
+  initial folder
+    
    HTML is defined by a series of tags, which are either in the form <tag /> or <tag></tag>. A comment in HTML, which is simply a non-functional bit of text meant to explicate the code, is in the form <!-- comment -->. Reproduce the following in your index.html file using your text editor (you can copy and paste).
    <!DOCTYPE html> <!-- let the browser know this is an HTML file -->
 
 <html>      <!-- everything else is enclosed in html tags -->
 <head>      <!-- the head is for metadata prior to building the page -->
@@ -73,7 +82,13 @@
 
    Unlike HTML and css, javascript is a programming language. HTML and css give important information to the browser, but they are like blueprints, whereas javascript is more like a recipe. Javascript will be our focus for the web mapping exercises. We are going to stop short of covering all general programming fundamentals, but you will learn how the various elements function and how to modify code to suit your purposes.
    console.log is a debug statement—it lets you write to the javascript console to keep track of what you're doing, which is a very helpful tool.
    At this point, we will create a local webserver so that we can view the webpage we just created.
    Create a local development server using Python:
    on Mac:
    • Open Terminal, then test to see what version of Python your computer has installed by typing python -V. Hit enter.
    • note whether your computer has python 2 or python 3 installed
    on Windows:
    • Open Command Prompt, then test to see what version of Python your computer has installed by typing python -V. Hit enter.
    If python is installed on your computer it will tell you which version is installed. Make a note of whether it is Python 2 or python 3.
    If your command prompt/terminal instead says something like 'python' is not recognized as an internal or external command,
 operable program or batch file. then you do not have Python installed and you will need to download it. Follow these instructions to download Python if it is not already installed.
    Once you have successfully confirmed that you have python installed, we will use it to create a local server to view our website from.
    Navigate to your webmap_1 folder from inside your Terminal or Command Prompt. To do this you will type cd followed by the path to your webmap folder. In my case this was:
    $ cd Documents/webmap_1
 
    Once you are inside your webmap_1 folder, type the appropriate command for your version of Python in Command Prompt or Terminal:
    Python 3: python -m http.server
-Python 2: python -m SimpleHTTPServer
    After you hit enter your Terminal/Command Prompt should say something like: Serving HTTP on 0.0.0.0 port 8000 ...
    Open your browser and navigate to: http://localhost:8000
    On the page itself you should see ... nothing.
    However, in your browser open View > Developer > JavaScript Console . You should see "Hello, world!" printed. This means that your map.js file has been successfully loaded and you are ready to start programming. If you see any error messages, check the format of your HTML and that the script tag which loads the Mapbox javascript are formatted correctly.
    Hello world
    Basic Mapbox GL JavaScript
    One more setup step: register a Mapbox account. Then find your "Default public token" under the "Access Tokens" tab, which you will use in your code.
    Default Token
    To begin, replace the debug statement in your map.js file with the following (minus the comments, which in js are designated by a leading //):
    'use strict'        // let the browser know we're serious
+Python 2: python -m SimpleHTTPServer
    After you hit enter your Terminal/Command Prompt should say something like: Serving HTTP on 0.0.0.0 port 8000 ...
    Open your browser and navigate to: http://localhost:8000
    On the page itself you should see ... nothing.
    However, in your browser open View > Developer > JavaScript Console . You should see "Hello, world!" printed. This means that your map.js file has been successfully loaded and you are ready to start programming. If you see any error messages, check the format of your HTML and that the script tag which loads the Mapbox javascript are formatted correctly.
    
+      
+  Hello world
+    
    Basic Mapbox GL JavaScript
    One more setup step: register a Mapbox account. Then find your "Default public token" under the "Access Tokens" tab, which you will use in your code.
    
+      
+  Default Token
+    
    To begin, replace the debug statement in your map.js file with the following (minus the comments, which in js are designated by a leading //):
    'use strict'        // let the browser know we're serious
 
 // debug statement letting us know the file is loaded
 console.log('Loaded map.js')
@@ -86,7 +101,10 @@
     center: [-73.93324, 40.80877],
     zoom: 14
 });
-
    Now we're cooking with gas. If you reload, you should see a map of Harlem (Web Mercator Projection). Have some fun zooming around.
    World map
    If you don't see a map, make sure you've followed the syntax exactly, and check for errors in your console. When programming, one misplaced character can break the whole thing (watch your commas and brackets!). The block of code we just added creates a new variable map which is a new instance of the Map object provided by the Mapbox javascript file we loaded in our HTML. "map" is actually an arbitrary name—you can choose whatever you want. A Map object has several attributes that we can change: container lets it know the HTML element that will become the map (in this case also called map), style defines a data source for the base map, and center and zoom define the starting coordinates for the map. Change these for map and see what happens.
    Other options for style:
    style: 'mapbox://styles/mapbox/basic-v9',
+
    Now we're cooking with gas. If you reload, you should see a map of Harlem (Web Mercator Projection). Have some fun zooming around.
    
+      
+  World map
+    
    If you don't see a map, make sure you've followed the syntax exactly, and check for errors in your console. When programming, one misplaced character can break the whole thing (watch your commas and brackets!). The block of code we just added creates a new variable map which is a new instance of the Map object provided by the Mapbox javascript file we loaded in our HTML. "map" is actually an arbitrary name—you can choose whatever you want. A Map object has several attributes that we can change: container lets it know the HTML element that will become the map (in this case also called map), style defines a data source for the base map, and center and zoom define the starting coordinates for the map. Change these for map and see what happens.
    Other options for style:
    style: 'mapbox://styles/mapbox/basic-v9',
 style: 'mapbox://styles/mapbox/outdoors-v10',
 style: 'mapbox://styles/mapbox/light-v9',
 style: 'mapbox://styles/mapbox/dark-v9',
@@ -116,7 +134,10 @@
     }
   })
 });
-
    A few things to note here:
    • map.on() is a method which listens for a specific type of event, in this case when the page loads (defined because we specified 'load'). This method waits for whatever we have defined to happen and then executes the 'function' we define. Here the function adds our datasource, and creates a new layer that shows our data.
    • with map.addSource we have defined a new data source and have given it the name 'blocks_data'
    • the 'data' resides at the location we just defined with our variable 'blocks_url'
    • with map.addLayer we are defining a new layer that will get added to our map. We have defined the 'id' to be 'blocks'. The 'type' of the layer is 'fill'. The 'source' is the 'blocks_data' source we defined with add.Source above. And finally 'paint' lets us define how our polygons are drawn.
    Save your map.js file and reload your browser. You should see the blocks!
    blocks
    Adding a geojson dataset of points to your map
    Next we will add a point layer.
    Save the geojson file of points that you plan to use in the data folder you have just created.
    The instructions below use the NYC street trees dataset that you used in tutorial 1 as an example. It is available in the class data folder.
    We will repeat the steps above that we used for the polygons:
    • load the dataset into your map object
    • create a new layer containing your geojson data and style it as you would like.
    First in your map.js file create a new variable containing the url of your point dataset). Place this just below the variable you created for your points dataset.
    var trees_url = "./data/2015_Street_Tree_Census_subset_um.geojson"
+
    A few things to note here:
    • map.on() is a method which listens for a specific type of event, in this case when the page loads (defined because we specified 'load'). This method waits for whatever we have defined to happen and then executes the 'function' we define. Here the function adds our datasource, and creates a new layer that shows our data.
    • with map.addSource we have defined a new data source and have given it the name 'blocks_data'
    • the 'data' resides at the location we just defined with our variable 'blocks_url'
    • with map.addLayer we are defining a new layer that will get added to our map. We have defined the 'id' to be 'blocks'. The 'type' of the layer is 'fill'. The 'source' is the 'blocks_data' source we defined with add.Source above. And finally 'paint' lets us define how our polygons are drawn.
    Save your map.js file and reload your browser. You should see the blocks!
    
+      
+  blocks
+    
    Adding a geojson dataset of points to your map
    Next we will add a point layer.
    Save the geojson file of points that you plan to use in the data folder you have just created.
    The instructions below use the NYC street trees dataset that you used in tutorial 1 as an example. It is available in the class data folder.
    We will repeat the steps above that we used for the polygons:
    • load the dataset into your map object
    • create a new layer containing your geojson data and style it as you would like.
    First in your map.js file create a new variable containing the url of your point dataset). Place this just below the variable you created for your points dataset.
    var trees_url = "./data/2015_Street_Tree_Census_subset_um.geojson"
 
    Next we will use the .addSource and .addLayer methods to add these points to our map.
    Inside the map.on('load') function that you defined above include the code snippet below. (Pay careful attention to making sure that you maintain the pairs of brackets and parentheses around each method when you do this).
      // define a 'source' for your point dataset
     map.addSource('trees_data',{
       'type':'geojson',
@@ -134,7 +155,10 @@
       },
     })
 
-
    Save your map.js file and reload your browser window. You should see the tree dataset you just added to your map!
    Trees
    Data - Driven Styling
    Now that we have our data on the map, we will want to style it using the data itself, similarly to how we did in QGIS.
    To do this, it may be useful to pull up the QGIS project from the first tutorial so we can reference the variables we styled from, and what the buckets were in each.
    Styling the block layers
    In the original tutorial, we joined the street trees dataset to the block groups, and then styled the fill of the blockgroups by the average diameter of tree on that block. 
    To do this in Mapbox GL JS, we fill just edit the fill-color property to have multiple steps, with colors associated for each. Copy and paste this over your entire block_data source + layer:
     // add a new layer with your polygons
+
    Save your map.js file and reload your browser window. You should see the tree dataset you just added to your map!
    
+      
+  Trees
+    
    Data - Driven Styling
    Now that we have our data on the map, we will want to style it using the data itself, similarly to how we did in QGIS.
    To do this, it may be useful to pull up the QGIS project from the first tutorial so we can reference the variables we styled from, and what the buckets were in each.
    Styling the block layers
    In the original tutorial, we joined the street trees dataset to the block groups, and then styled the fill of the blockgroups by the average diameter of tree on that block. 
    To do this in Mapbox GL JS, we fill just edit the fill-color property to have multiple steps, with colors associated for each. Copy and paste this over your entire block_data source + layer:
     // add a new layer with your polygons
   map.addLayer({
     'id':'blocks',
     'type':'fill',
@@ -156,7 +180,10 @@
       'fill-opacity': 0.5
     }
   })
-
      There are a couple of things going on here:
    • Instead of giving a single value for fill-color, we are styling across a property, which in this case is 'avg_diamet'. If nothing is showing for you, first check that your variable is named the same thing.
    • We get that variable with ['step', ['get', 'avg_diamet'], followed by our values. The first value, #ffffff is a fallback for 0, and the rest are the avg_diamet values I copied over from QGIS, followed by their respective color.
    • While I could have copied over colors from QGIS, I used ColorBrewer2 for map styles. 
    • The three lines that start with ['case perform the function of sorting out null values from the dataset, and making them white. Without this Mapbox would default to making them black. 
    • Lastly, there are many ways to do this correctly, this is just one of them. Don't get caught up too much in the specific syntax of this example and don't worry if you find something different online, both will probably work.
    Save your map, refresh if you need to, and you should see this:
    BlockDataStyle
    Styling the tree layers.
    Next, we will style the tree layers.
    This will be a bit more straight forward, because we are styling a numeric property, circle-radius', with another numeric property from our dataset tree_dbh`.
     Copy and paste this over your entire trees_data source + layer:
       // define a 'source' for your point dataset
+
      There are a couple of things going on here:
    • Instead of giving a single value for fill-color, we are styling across a property, which in this case is 'avg_diamet'. If nothing is showing for you, first check that your variable is named the same thing.
    • We get that variable with ['step', ['get', 'avg_diamet'], followed by our values. The first value, #ffffff is a fallback for 0, and the rest are the avg_diamet values I copied over from QGIS, followed by their respective color.
    • While I could have copied over colors from QGIS, I used ColorBrewer2 for map styles. 
    • The three lines that start with ['case perform the function of sorting out null values from the dataset, and making them white. Without this Mapbox would default to making them black. 
    • Lastly, there are many ways to do this correctly, this is just one of them. Don't get caught up too much in the specific syntax of this example and don't worry if you find something different online, both will probably work.
    Save your map, refresh if you need to, and you should see this:
    
+      
+  BlockDataStyle
+    
    Styling the tree layers.
    Next, we will style the tree layers.
    This will be a bit more straight forward, because we are styling a numeric property, circle-radius', with another numeric property from our dataset tree_dbh`.
     Copy and paste this over your entire trees_data source + layer:
       // define a 'source' for your point dataset
     map.addSource('trees_data',{
       'type':'geojson',
       'data': trees_url
@@ -172,7 +199,10 @@
         'circle-radius': ['/', ['get', 'tree_dbh'], 5],
       },
     })
-
    Here, all of the styling takes place in 'circle-radius': ['/', ['get', 'tree_dbh'], 5],. Originally I had 'circle-radius': ['get', 'tree_dbh'], which made the mapbox radius unit exactly the tree diameter in feet contained in the tree_dbh variable. This was comically large, so I the code around it divided that value by 5.
    After you'ved added that, your map should look like this. 
    TreeDataStyle
    Looks like I have a giant tree on 117th street, this could be the result of either an error in the original datset, an error in how we processed it, or a giant tree on 117th street that I haven't noticed before. You could fix this by either editing it in the dataset itself, or if it was important for you to maintain a direct proportion to the actual tree diameter, you could change the styling of circle-radius to buckets instead of a linear scale (like we did in QGIS.)
    Styling alternatives
    If you find all of that styling tedious, you're not alone! Luckily Mapbox also has a GUI that allows you to style a map called Mapbox Studio. There, you can style a layer, and then add it to your map.js using it's tilesetID.
+
    Here, all of the styling takes place in 'circle-radius': ['/', ['get', 'tree_dbh'], 5],. Originally I had 'circle-radius': ['get', 'tree_dbh'], which made the mapbox radius unit exactly the tree diameter in feet contained in the tree_dbh variable. This was comically large, so I the code around it divided that value by 5.
    After you'ved added that, your map should look like this. 
    
+      
+  TreeDataStyle
+    
    Looks like I have a giant tree on 117th street, this could be the result of either an error in the original datset, an error in how we processed it, or a giant tree on 117th street that I haven't noticed before. You could fix this by either editing it in the dataset itself, or if it was important for you to maintain a direct proportion to the actual tree diameter, you could change the styling of circle-radius to buckets instead of a linear scale (like we did in QGIS.)
    Styling alternatives
    If you find all of that styling tedious, you're not alone! Luckily Mapbox also has a GUI that allows you to style a map called Mapbox Studio. There, you can style a layer, and then add it to your map.js using it's tilesetID.
 This is sometimes quicker for simple maps with precise styling, but you lose some potential for interactiviy in the procress. Here is the Mapbox Documentation for that workflow.
    Pushing to Github
    Once you have created an map that you like lets publish it online by pushing our changes to GitHub. Open your terminal or command prompt. Make sure you are within the folder where you created your web map (in our case webmap_1).  
    • Type git add -A to 'track' all of the changes you made.   
    • To commit your changes type git commit -m "some note about the changes you made" and replace the information within the quotes with some note to yourself about the changes you made.  
    • Then push your changes to the server by typing git push.
    Visit your repository website at yourgithubusername.github.io/webmap_1 to check that all changes were pushed correctly.
    Adding Interactivity
    After completing the above portions of this tutorial you now should have a functioning web map. Congrats! With the help of some Javascript, we managed to get something similar to our QGIS static map onto the web by defining its content (raster and vector data) and style (symbology). Here we'll start to look at where Javascript really shines: defining behavior, interactivity and change over time in your web map.
    About Events
    One of the simplest forms of interactivity is to have something happen when you click an element on the page, or in this case, our map. Javascript uses the concept of events to define this kind of behavior. This is a two-part approach: you first need to designate an element on your page as an event listener, then provide instructions in the form of an event handler that say what to do when the event takes place. A basic example would look something like this:
    // listen for 'onclick' events from 'handler-element'
 document.getElementById('handler-element').onclick = handleEvent;
 
@@ -203,7 +233,10 @@
 map.on('mouseleave', 'trees', function() {
   map.getCanvas().style.cursor = '';
 });
-
    Now you should see a popup appear with the tree's species name whenever you click a tree on the map. Clicking another tree or clicking the 'x' on the popup should make the last popup disappear. Not bad for a couple lines of code. Notice that we can also control the appearance of the cursor to give the user a hint that some kind of interactivity is now built into the tree symbols. Thanks to the features in the library, we're able to do a surprising amount of work with just a couple of lines of code.
    Street trees with popup tags
    Other Mapbox GL Examples
    Now that we've seen the basics of how to define map behavior using functions in the Mapbox GL library, you can experiment with some of the many examples they provide and try to adapt them to your map. Here are a few suggestions:
    • You can adjust the opacity of a raster layer using the value property of a targeted slider to as an input to the map's setPaintProperty() function. Note that this example uses the plain Javascript event pattern outlined above since the behavior is for a single element outside of the map itself.
    • Or you can animate features on the map using two custom functions - one that defines position as a function of time and another which steps through frames of an animation, updating the position of an element with Map.getSource(...).setData(...) each time it runs.
    • Or animate the 'camera' with the flyTo() function which gradually changes the center and zoom properties of the Map over time.
    Using API Documentation
    As you start thinking about how you might want to develop your map further, you'll want to know more about what else you can do with MapboxGL. At a certain point, working through examples and tutorials will cease to be useful and you'll want a more direct way to explore what's available. Fortunately, every legitimate Javascript library comes with a catalog in the form of its API documentation. Sometimes you'll see this referred to as "the docs" for short, and it's always going to be the most detailed, comprehensive, up-to-date, and accurate source for information on the contents of a given library and how it's meant to be used.
    All of the objects, functions and properties in the library will be listed and described, often with examples, in a single online resource. So for example, if you wanted more details on how the flyTo function in the last example, you'd find it here under the instance members of the Map object. Not all API docs will do this, but Mapbox includes both links to related examples and short code snippets, which makes it even easier to learn. Feel free to explore this at your own pace and try adding some additional functionality to your map if you have the time and interest.
    Full Code
    Here is what your full map.js should look like in the end, and here is a live demo of it as well. Don't forget to put in your mapbox token!
    'use strict'        // let the browser know we're serious
+
    Now you should see a popup appear with the tree's species name whenever you click a tree on the map. Clicking another tree or clicking the 'x' on the popup should make the last popup disappear. Not bad for a couple lines of code. Notice that we can also control the appearance of the cursor to give the user a hint that some kind of interactivity is now built into the tree symbols. Thanks to the features in the library, we're able to do a surprising amount of work with just a couple of lines of code.
    
+      
+  Street trees with popup tags
+    
    Other Mapbox GL Examples
    Now that we've seen the basics of how to define map behavior using functions in the Mapbox GL library, you can experiment with some of the many examples they provide and try to adapt them to your map. Here are a few suggestions:
    • You can adjust the opacity of a raster layer using the value property of a targeted slider to as an input to the map's setPaintProperty() function. Note that this example uses the plain Javascript event pattern outlined above since the behavior is for a single element outside of the map itself.
    • Or you can animate features on the map using two custom functions - one that defines position as a function of time and another which steps through frames of an animation, updating the position of an element with Map.getSource(...).setData(...) each time it runs.
    • Or animate the 'camera' with the flyTo() function which gradually changes the center and zoom properties of the Map over time.
    Using API Documentation
    As you start thinking about how you might want to develop your map further, you'll want to know more about what else you can do with MapboxGL. At a certain point, working through examples and tutorials will cease to be useful and you'll want a more direct way to explore what's available. Fortunately, every legitimate Javascript library comes with a catalog in the form of its API documentation. Sometimes you'll see this referred to as "the docs" for short, and it's always going to be the most detailed, comprehensive, up-to-date, and accurate source for information on the contents of a given library and how it's meant to be used.
    All of the objects, functions and properties in the library will be listed and described, often with examples, in a single online resource. So for example, if you wanted more details on how the flyTo function in the last example, you'd find it here under the instance members of the Map object. Not all API docs will do this, but Mapbox includes both links to related examples and short code snippets, which makes it even easier to learn. Feel free to explore this at your own pace and try adding some additional functionality to your map if you have the time and interest.
    Full Code
    Here is what your full map.js should look like in the end, and here is a live demo of it as well. Don't forget to put in your mapbox token!
    'use strict'        // let the browser know we're serious
 
 // debug statement letting us know the file is loaded
 console.log('Loaded map.js')
@@ -293,4 +326,4 @@
   });
   
 
    Tutorial by Adam Vosburgh, Spring 2022.
    
-Adapted from tutorial written by Dare Brawley, Spring 2020 & by Brian House for Mapping for Architecture, Urbanism, and the Humanities, Fall 2018.
    
\ No newline at end of file
+Adapted from tutorial written by Dare Brawley, Spring 2020 & by Brian House for Mapping for Architecture, Urbanism, and the Humanities, Fall 2018.
    \ No newline at end of file diff --git a/tutorials/webmap-2/index.html b/tutorials/webmap-2/index.html index 7930a84..ae91ed8 100644 --- a/tutorials/webmap-2/index.html +++ b/tutorials/webmap-2/index.html @@ -1,4 +1,4 @@ -
    Webmaps Part 2 - Scrollytelling Map<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    Webmaps Part 2 - Scrollytelling Map

    Making a Scrollytelling map with Mapbox Storytelling

    Now that you have learned QGIS, Git, html, css, javascript and some Mapbox libraries, let's make a custom story map using Mapbox GL JS and Scrollarama.

    This is a format that has become exponentially more common over the past five years or so for telling stories through maps. While a number of newsrooms have used propietary tools built for this purpose for awhile, recently Mapbox implementation has lowered the barrier to entry a lot.

    The below animation is a fairly simple rendition of what this can look like, but they can easily get pretty immersive. See this NYT interactive for the insanely fancy, and this WaPo story for a very clever use of a self-collected dataset to tell a much larger story.

    Scrollytelling

    Setup

    Create a Mapbox Studio account

    Because it reduces the complexity of our setup, we'll be adding our data layers through mapbox studio. Make an account if you don't have one already, or login if you do. Later on, we will style our data layers again in mapbox studio, and add them to our map using their layer-id.

    While this method gets our maps up and running quicker, for those with a bit more experience and interested in a more flexible storytelling format, I recommend this tutorial from the GSAPP course Points Unknown (I also recommend taking the course!)

    File Setup

    We're going to build off of the last tutorial to build this, so make sure you have that up and running first, or download the completed repo here.

    We'll start by creating a new repo called webmap_2_storytelling, cloning it to your local filesystem, copying over the contents of webmap_1 into it, and starting a live server. If you have any trouble with this - refer to the beginning of the previous tutorial.

    By now, you should have the same file contents and result as you did from the last tutorial

    FileSetup

    To start, we will edit our index.html to include the correct setup for mapbox, and set up our map in a config.js instead of the map.js we were using earlier. We will be taking this code from the official Mapbox Storytelling repo.

    It is important to note that if some of this is confusing, that is fine. using something copy pasted from the internet without fully understanding what it does is totally par for the course, especially when it comes to niche javascript libraries.

    Editing index.html

    Copy and paste the entirety of this into your index.html. If your curious, this code comes from the src > index.html in the Mapbox Storytelling repo:

    <!DOCTYPE html>
+
    Webmaps Part 2 - Scrollytelling Map<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024
    Webmaps Part 2 - Scrollytelling Map
    Making a Scrollytelling map with Mapbox Storytelling
    Now that you have learned QGIS, Git, html, css, javascript and some Mapbox libraries, let's make a custom story map using Mapbox GL JS and Scrollarama. 
    This is a format that has become exponentially more common over the past five years or so for telling stories through maps. While a number of newsrooms have used propietary tools built for this purpose for awhile, recently Mapbox implementation has lowered the barrier to entry a lot.  
    The below animation is a fairly simple rendition of what this can look like, but they can easily get pretty immersive. See this NYT interactive for the insanely fancy, and this WaPo story for a very clever use of a self-collected dataset to tell a much larger story.
    Scrollytelling
    Setup
    Create a Mapbox Studio account
    Because it reduces the complexity of our setup, we'll be adding our data layers through mapbox studio. Make an account if you don't have one already, or login if you do. Later on, we will style our data layers again in mapbox studio, and add them to our map using their layer-id.
    While this method gets our maps up and running quicker, for those with a bit more experience and interested in a more flexible storytelling format, I recommend this tutorial from the GSAPP course Points Unknown (I also recommend taking the course!) 
    File Setup
    We're going to build off of the last tutorial to build this, so make sure you have that up and running first, or download the completed repo here.
    We'll start by creating a new repo called webmap_2_storytelling, cloning it to your local filesystem, copying over the contents of webmap_1 into it, and starting a live server. If you have any trouble with this - refer to the beginning of the previous tutorial.
    By now, you should have the same file contents and result as you did from the last tutorial
    FileSetup
    To start, we will edit our index.html to include the correct setup for mapbox, and set up our map in a config.js instead of the map.js we were using earlier. We will be taking this code from the official Mapbox Storytelling repo.
    It is important to note that if some of this is confusing, that is fine. using something copy pasted from the internet without fully understanding what it does is totally par for the course, especially when it comes to niche javascript libraries. 
    Editing index.html
    Copy and paste the entirety of this into your index.html. If your curious, this code comes from the src > index.html in the Mapbox Storytelling repo:
    <!DOCTYPE html>
 <html>
 <head>
     <meta charset='utf-8' />
@@ -396,8 +396,29 @@
         }`
     ]
 };
-
    With those two added, you'll want to add your accessToken where it currently says accessToken: 'YOUR_ACCESS_TOKEN',.  
    Once you do that, save and possibly refresh, you're all set up! Your map.js is no longer of any use to you, and you can feel free to delete it if you would like to keep your repo clean. You should have a template story with some basic animation in your browser, which looks something like this:
    MapboxTemplate
    Adding your Content
    Creating a Style and Adding it
    Next we'll start adding our own content to the map - and by this I mean our datasets. For this we'll go back to Mapbox Studio.
    In Mapbox Studio, click "New Style" and select your style. I'll go with Monochrome and the Light variation. One you make the map go ahead and give it a name, we'll only need one for the whole project, so I would name it the same thing, webmap_2_storytelling.
    MbStudioStyle
    Now that we have our base style, let's go ahead and add it to our storymap. On the top right, click Publish, click through that menu, and then click the Share button immediately to it's left. There you can copy the Style URL for your map, and then put it in your config.js.
    Now, any style changes that you make on your mapbox studio map will show in your storymap. Take note of the menus description of the difference between draft and production share urls - if you don't see change reflected right away on your map, that may be why. If you haven't done so yet, copy over your Access Token too. This should be the same one as you made earlier. 
    StyleUrl
    Adding and Styling data in Mapbox Studio
    Let's add the data we used in the previous tutorial. Tab over to the Layers menu on the left-hand toolbox, and hit the plus icon. In the next menu hit Source and then Upload Data. Upload our blocks_joined_trees_um.gejson dataset.
    TilesetID
    You should see the dataset being uploading in the bottom right-hand corner. Once it is done, enter the url under Add Source by ID, or by searching for it under Your Sources. If it doesn't work or you can't find it, give it a second until it is done processing. If you pan over to NYC, you should see the footprint of your dataset there.
    Once your dataset is added as a layer, click back onto the Style menu for that layer, and click Color. Select Style Across Data Range in the menu, and then a pop-up will ask which variable in the data range, select avg_diamet, or however you have the variable named. 
    DataRange
    Now, in a very similar fashion to QGIS, we will style the data as a gradient from small to large average radius per block. Select + Add another stop until we have five - you'll notice that the radius will already be determined based on the number of stops and the linear rate of change we have selected above. Now that we have those, let's select our colors. I will use ColorBrewer2 again.
    After we have our stops and colors added, lets drag our layer down so it is only above the Land, water & sky layers, so the other map data will be on top of the blocks. Lastly, you may notice that there are some black polygons left, if you remember in the last tutorial, we filtered these out by catching them with a null filter. However (to my knowledge) there is not a way of doing this in Mapbox Studio.
-While it will work for now, this means that for your own projects, you should filter out the null values when in QGIS before exporting, so you don't have to deal with that styling issue here.
    BLOCKSTYLE
    Now the Layer is added and ready to use. Lastly let's rename it so that it will be easy to reference in the storymap, I'm renaming it back to the dataset name, or blocks-joined-trees-um.
    Adding and Styling Another dataset
    Repeat the steps above but for your 2015_Street_Tree_Census_subset_um.geojson dataset. Instead of choosing Style across data range for color, we will select a single color and Style across data range for Radius, and use the tree_dbh variable.
    This time, the default values mapbox will give us when adding stops will be way too large, on account of an outlier in the dataset. Reference your QGIS project for good stops, for me that was 2.615, 6.444, 9.379, 15.036, and 26.000. For my size I used 1 to 5 px.
    Lastly, rename the layer so that it is easy to type, I did 2015-street-tree-census-subset, and move the layer so that it is below labels but above road geometries.
    TREESTYLE
    Make sure to hit Publish after you're finished with that. Okay, we're done with Mapbox Studio! Back to our text editor. 
    Making a storymap
    Step 1: Finding a Story
    This is probably the hardest part, and unfortunately not one that is possible for me to complete in the tutorial. For demo purposes, I'll tell a story about trees in uptown nyc. There are a lot of trees all over the world, so I think I'll start out at global scale, zoom in, and then turn on data layers one at a time. (Please make a story better than this.)
    Now that I have my title, I'll start by editing the titles and bylines. In my config.js this is everything above chapters, which we'll get to next. This is also where global settings for the story are defined and while this template doesn't have all it has some, so pay attention to some of those, like showMarkers, for example. I set that to false because I think it is distracting, while I set use3dTerrain to true.
    var config = {
+
    With those two added, you'll want to add your accessToken where it currently says accessToken: 'YOUR_ACCESS_TOKEN',.  
    Once you do that, save and possibly refresh, you're all set up! Your map.js is no longer of any use to you, and you can feel free to delete it if you would like to keep your repo clean. You should have a template story with some basic animation in your browser, which looks something like this:
    
+      
+  MapboxTemplate
+    
    Adding your Content
    Creating a Style and Adding it
    Next we'll start adding our own content to the map - and by this I mean our datasets. For this we'll go back to Mapbox Studio.
    In Mapbox Studio, click "New Style" and select your style. I'll go with Monochrome and the Light variation. One you make the map go ahead and give it a name, we'll only need one for the whole project, so I would name it the same thing, webmap_2_storytelling.
    
+      
+  MbStudioStyle
+    
    Now that we have our base style, let's go ahead and add it to our storymap. On the top right, click Publish, click through that menu, and then click the Share button immediately to it's left. There you can copy the Style URL for your map, and then put it in your config.js.
    Now, any style changes that you make on your mapbox studio map will show in your storymap. Take note of the menus description of the difference between draft and production share urls - if you don't see change reflected right away on your map, that may be why. If you haven't done so yet, copy over your Access Token too. This should be the same one as you made earlier. 
    
+      
+  StyleUrl
+    
    Adding and Styling data in Mapbox Studio
    Let's add the data we used in the previous tutorial. Tab over to the Layers menu on the left-hand toolbox, and hit the plus icon. In the next menu hit Source and then Upload Data. Upload our blocks_joined_trees_um.gejson dataset.
    
+      
+  TilesetID
+    
    You should see the dataset being uploading in the bottom right-hand corner. Once it is done, enter the url under Add Source by ID, or by searching for it under Your Sources. If it doesn't work or you can't find it, give it a second until it is done processing. If you pan over to NYC, you should see the footprint of your dataset there.
    Once your dataset is added as a layer, click back onto the Style menu for that layer, and click Color. Select Style Across Data Range in the menu, and then a pop-up will ask which variable in the data range, select avg_diamet, or however you have the variable named. 
    
+      
+  DataRange
+    
    Now, in a very similar fashion to QGIS, we will style the data as a gradient from small to large average radius per block. Select + Add another stop until we have five - you'll notice that the radius will already be determined based on the number of stops and the linear rate of change we have selected above. Now that we have those, let's select our colors. I will use ColorBrewer2 again.
    After we have our stops and colors added, lets drag our layer down so it is only above the Land, water & sky layers, so the other map data will be on top of the blocks. Lastly, you may notice that there are some black polygons left, if you remember in the last tutorial, we filtered these out by catching them with a null filter. However (to my knowledge) there is not a way of doing this in Mapbox Studio.
+While it will work for now, this means that for your own projects, you should filter out the null values when in QGIS before exporting, so you don't have to deal with that styling issue here.
    
+      
+  BLOCKSTYLE
+    
    Now the Layer is added and ready to use. Lastly let's rename it so that it will be easy to reference in the storymap, I'm renaming it back to the dataset name, or blocks-joined-trees-um.
    Adding and Styling Another dataset
    Repeat the steps above but for your 2015_Street_Tree_Census_subset_um.geojson dataset. Instead of choosing Style across data range for color, we will select a single color and Style across data range for Radius, and use the tree_dbh variable.
    This time, the default values mapbox will give us when adding stops will be way too large, on account of an outlier in the dataset. Reference your QGIS project for good stops, for me that was 2.615, 6.444, 9.379, 15.036, and 26.000. For my size I used 1 to 5 px.
    Lastly, rename the layer so that it is easy to type, I did 2015-street-tree-census-subset, and move the layer so that it is below labels but above road geometries.
    
+      
+  TREESTYLE
+    
    Make sure to hit Publish after you're finished with that. Okay, we're done with Mapbox Studio! Back to our text editor. 
    Making a storymap
    Step 1: Finding a Story
    This is probably the hardest part, and unfortunately not one that is possible for me to complete in the tutorial. For demo purposes, I'll tell a story about trees in uptown nyc. There are a lot of trees all over the world, so I think I'll start out at global scale, zoom in, and then turn on data layers one at a time. (Please make a story better than this.)
    Now that I have my title, I'll start by editing the titles and bylines. In my config.js this is everything above chapters, which we'll get to next. This is also where global settings for the story are defined and while this template doesn't have all it has some, so pay attention to some of those, like showMarkers, for example. I set that to false because I think it is distracting, while I set use3dTerrain to true.
    var config = {
     style: 'mapbox://styles/adamvosburgh/ckzm6ymoc001y15s707imeig0',
     accessToken: 'pk.eyJ1IjoiYWRhbXZvc2J1cmdoIiwiYSI6ImNrOGE5MDhudzAzcHozbW82cTRnY201ZWEifQ.SyIq-l5sw9Ew6mGRLgfp1w',
     showMarkers: false,
@@ -570,7 +591,10 @@
         }
     ]
 };
-
    Once you have that in and hit save, you should be able to read my story in it's entirety, it should look like this. If you still don't see anything, make sure that you hit publish on your map in Mapbox Studio, and then even after that it can take a few minutes to show up.
    I'll note a few things going on here:
    • Layers are added to the map using the Layer Name that we defined in Mapbox Studio. That is all we need to reference the data and its respective styling.
    • All of the work is being done by onChapterEnter, and setting the opactiy for that layer. I personally only use onChapterExit if I am switching a dataset out for every chapter. My approach is to define the opacity for a layer everytime that it changes - layers won't change unless you tell them to. 
    • One thing you need to think about is what happens when your reader scrolls back up too - you'll want to plan for that so they don't break the site.
    • A really useful tool for setting up the 'camera' is the Mapbox Location Helper.
    • To get the images I added to work, you'll need to add them to your repo. I placed them in a folder called 'img'. Here is the download link.
    • While you can add legends directly onto the map in html, the chapter image field is a really useful place to put legends.
    STORYMAP
    Step 3: Fine-Tune your Story Map
    Now that our map is up and running, we'll want to go back and spend some time styling our various html elements. This can all be done in your index.html, spefically under the <style> tag, where the css for each element is located.
    If you're not familiar with css, don't stress about it too much, but if you would like to change anything in particular, you can figure out the vast majority of what you need to change just by googling around for it. Even the best of web developers look up whether text color is color or text-color on a daily basis. A classic resource for webdev fundamentals is w3 schools.
    The End
    Congratulations! You now have a story map. Just in case there is anything you're troubleshooting, here is a live demo of what it should look like, and here's the config.js in it's entiretly: 
    var config = {
+
    Once you have that in and hit save, you should be able to read my story in it's entirety, it should look like this. If you still don't see anything, make sure that you hit publish on your map in Mapbox Studio, and then even after that it can take a few minutes to show up.
    I'll note a few things going on here:
    • Layers are added to the map using the Layer Name that we defined in Mapbox Studio. That is all we need to reference the data and its respective styling.
    • All of the work is being done by onChapterEnter, and setting the opactiy for that layer. I personally only use onChapterExit if I am switching a dataset out for every chapter. My approach is to define the opacity for a layer everytime that it changes - layers won't change unless you tell them to. 
    • One thing you need to think about is what happens when your reader scrolls back up too - you'll want to plan for that so they don't break the site.
    • A really useful tool for setting up the 'camera' is the Mapbox Location Helper.
    • To get the images I added to work, you'll need to add them to your repo. I placed them in a folder called 'img'. Here is the download link.
    • While you can add legends directly onto the map in html, the chapter image field is a really useful place to put legends.
    
+      
+  STORYMAP
+    
    Step 3: Fine-Tune your Story Map
    Now that our map is up and running, we'll want to go back and spend some time styling our various html elements. This can all be done in your index.html, spefically under the <style> tag, where the css for each element is located.
    If you're not familiar with css, don't stress about it too much, but if you would like to change anything in particular, you can figure out the vast majority of what you need to change just by googling around for it. Even the best of web developers look up whether text color is color or text-color on a daily basis. A classic resource for webdev fundamentals is w3 schools.
    The End
    Congratulations! You now have a story map. Just in case there is anything you're troubleshooting, here is a live demo of what it should look like, and here's the config.js in it's entiretly: 
    var config = {
     style: 'mapbox://styles/adamvosburgh/ckzm6ymoc001y15s707imeig0',
     accessToken: 'pk.eyJ1IjoiYWRhbXZvc2J1cmdoIiwiYSI6ImNrOGE5MDhudzAzcHozbW82cTRnY201ZWEifQ.SyIq-l5sw9Ew6mGRLgfp1w',
     showMarkers: false,
@@ -744,4 +768,4 @@
     ]
 };
 
    Looking forward to seeing what you make!
    Tutorial by Adam Vosburgh, Spring 2022.
    
-Written for Methods in Spatial Research, Spring 2022.
    
\ No newline at end of file
+Written for Methods in Spatial Research, Spring 2022.
    \ No newline at end of file diff --git a/tutorials/xyz-tiles/index.html b/tutorials/xyz-tiles/index.html index 3b3dcd1..f6c716b 100644 --- a/tutorials/xyz-tiles/index.html +++ b/tutorials/xyz-tiles/index.html @@ -1 +1 @@ -
    XYZ Tiles<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    XYZ Tiles

    XYZ Tiles

    This information is also included in tutorial 3, but is here seperately to make it easier to find.

    XYZ tiles are layers comprised of multiple tiles that reside on a server and are made available to the public. When added to QGIS or another mapping service, what appears as a seamless map is actually a collection of many smaller images in a grid, delivered by a web server. The maps in Google Maps and other web mapping services are served as XYZ tiles. They are often useful for a quick basemap when exploring preliminary data, but as a general rule it is always good to eventually remove it and have just the right amount of information to communicate the purpose of the map.

    Open Street Maps is an open geographic database contributed to by volunteers. Let's add the default OSM (Open Street Map) XYZ Tile in QGIS, to get a basemap of streets and buildings, among other features.

    You can add XYZ tiles in the Browser Panel of QGIS. Right-click “XYZ Tiles” and select “New Connection”. Give your new connection a name like “Open Street Map”, and paste the following URL into the URL field:

    https://tile.openstreetmap.org/{z}/{x}/{y}.png

    You should now see your entry for Open Street Maps if you expand the XYZ option in the browser panel. Drag this to your layers panel to add it to your QGIS project.

    Other than the default Open Street Map raster tile, there are many more styles based off of that. Some notable ones are:

    • Stamen Toner (black and white): http://a.tile.stamen.com/toner/{z}/{x}/{y}.png
    • Stamen Terrain: http://a.tile.stamen.com/toner/{z}/{x}/{y}.png
    • Mapbox Satellite: https://api.mapbox.com/styles/v1/mapbox/satellite-v9/tiles/256/{z}/{x}/{y}@2x?access_token=MAPBOX_TOKEN_HERE This one requires an access token, which you can get for free with a mapbox account. Instructions here

    Resources compiled by Adam Vosburgh, Spring 2023.

    \ No newline at end of file +
    XYZ Tiles<!-- -->| <!-- -->A4407-sp2024
    A4407-sp2024

    XYZ Tiles

    XYZ Tiles

    This information is also included in tutorial 3, but is here seperately to make it easier to find.

    XYZ tiles are layers comprised of multiple tiles that reside on a server and are made available to the public. When added to QGIS or another mapping service, what appears as a seamless map is actually a collection of many smaller images in a grid, delivered by a web server. The maps in Google Maps and other web mapping services are served as XYZ tiles. They are often useful for a quick basemap when exploring preliminary data, but as a general rule it is always good to eventually remove it and have just the right amount of information to communicate the purpose of the map.

    Open Street Maps is an open geographic database contributed to by volunteers. Let's add the default OSM (Open Street Map) XYZ Tile in QGIS, to get a basemap of streets and buildings, among other features.

    You can add XYZ tiles in the Browser Panel of QGIS. Right-click “XYZ Tiles” and select “New Connection”. Give your new connection a name like “Open Street Map”, and paste the following URL into the URL field:

    https://tile.openstreetmap.org/{z}/{x}/{y}.png

    You should now see your entry for Open Street Maps if you expand the XYZ option in the browser panel. Drag this to your layers panel to add it to your QGIS project.

    Other than the default Open Street Map raster tile, there are many more styles based off of that. Some notable ones are:

    • Stamen Toner (black and white): http://a.tile.stamen.com/toner/{z}/{x}/{y}.png
    • Stamen Terrain: http://a.tile.stamen.com/toner/{z}/{x}/{y}.png
    • Mapbox Satellite: https://api.mapbox.com/styles/v1/mapbox/satellite-v9/tiles/256/{z}/{x}/{y}@2x?access_token=MAPBOX_TOKEN_HERE This one requires an access token, which you can get for free with a mapbox account. Instructions here

    Resources compiled by Adam Vosburgh, Spring 2023.

    \ No newline at end of file

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