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Let's make sure we're on the same page (and address your earlier comments). Dodson and ToblerTheir digitization, which essentially projects a nominal set of 2D Cartesian xy coordinates onto Snow's map, is the basis with some modification of the data and the plots used in and computed by the 'cholera' package. While the data no longer seems to be hosted on NCGIA, they are preserved in the 'HistData' R package and probably elsewhere as well. Wherever you get the data, you should be able to easily import them into QGIS. There are three key datasets/files: one that records the xy location of pumps, one that records the xy location of each "bar" or "dot" and one that records the xy endpoints of the straight line segments used to approximate the roads. For what it's worth, you can export these data as CSVs or TXTs from R. MapsI think I don't completely understand what you mean by a map. In my mind, the various plots, which you can see in the README or can replicate using 'cholera' and R, are maps. Do you have something in mind that looks like Snow's original map or something that relies on Google Maps or Open Street Maps? Or do you mean something that is in pure GIS format (e.g., a QGIS project)? QGISI'm not a GIS/QGIS person so take my ignorance into account. Some of the functionality of 'cholera' seems readily available (e.g., Voronoi polygons). Some seem to require a lot of work. Here I'm thinking of computing and constructing walking distances and neighborhoods. For the former, you need a way to construct/import the graph network of roads (as a shapefile?), then you can compute the shortest walking path. For the latter, I'm not sure. To construct the walking neighborhood polygons in R, I use brute force simulation. I place regularly spaced points across the map to find the extent of neighborhoods (a polygon). I don't know how easy it would be to do/script this in QGIS. Is there a way to construct a user-friendly interface in QGIS? In R, I can use functions. For example, to compute and plot the walking path between case 1 and pump 10, use the following:
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I work with historical maps too. I’m sending you a few screen shots and photos of a GIS project I’m doing for Mapping Brisbane History here in Brisbane, Australia. This will give you a bit of an idea of how I create layouts (maps). |
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I guess this wasn't helpful. |
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One reason that I'm adding lat-long is to make the project more GIS-friendly . I'm not sure how fully GIS or Spatial Data Analysis I should or can take the project. I need to understand both better. But it's not a near term objective (perhaps when I get to v. 1.0). That said, feel free to make the case why GIS is the better way to analyze, visualize and understand these data. |
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I have enclosed an essay I wrote some years back. |
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Deaths on Broad Street displayed as graduated symbols. |
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I'd like to better understand your position (assuming you're representative of GIS users). It seems to me that you don't have objections per se but I get the sense that something doesn't feel right to you about how I'm presenting the data. If you could put that into words, I'd appreciate it. To me, putting aside debates about tools (e.g., GIS, computer language), it almost seems to boil down to aesthetics: a tradeoff between maximalist context - using existing maps a foundation - versus information-forward minimalism - more abstract graphs. For example, while it's probably non-trivial, I could probably add the analog Soho map as a background image to my graphs but in many cases the result would get too "busy" (to me at least). Consider what the graph below would look like overlayed on the Soho map. For what it's worth my current working solution in QGIS: |
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"Consider what the graph below would look like overlayed on the Soho map". |
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Is this an appropriate maximalist - minimalist trade off? |
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Would it be possible to use this open source solution to create an updated cholera map?
What would it take to move the idea forward?
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