An interactive visualisation tool for GCBM.
Taswira aims to be an easy-to-use utility to help the users of the Generic Carbon Budget Model (GCBM). It takes output generated by GCBM and creates a browser-based UI that allows users to:
- View previews of the spatial data overlaid on an interactive map.
- View graphs of ecosystem indicators from the non-spatial output.
- Visually cycle through the time-series of the spatial output.
Requires Git and Miniconda (or Anaconda) with Python 3.6 or newer.
- Clone the repository and
cd
into it:
git clone https://github.com/moja-global/taswira
cd taswira
- Create a conda environment and activate it:
conda env create -f environment.yml
conda activate taswira
- Install the Python package:
pip install -e .
Taswira is now installed, see Usage below.
You can also use Taswira through Docker. For that, build a container image:
DOCKER_BUILDKIT=1 docker build -t taswira:latest .
And then use it to run Taswira:
docker run taswira
usage: taswira [-h] [--allow-unoptimized] config spatial_results db_results
Interactive visualization tool for GCBM
positional arguments:
config path to JSON config file
spatial_results path to GCBM spatial output directory
db_results path to compiled GCBM results database
optional arguments:
-h, --help show this help message and exit
--allow-unoptimized allow processing unoptimized raster files
NOTE: spatial_results
directory should contain GeoTIFFs with filenames that match the pattern {title}_{year}.tiff
.
config
should be a valid JSON file with an array of environment indicator configurations, each of which can have the following keys:
Key | Description | Required |
---|---|---|
database_indicator | Database column that contains indicator's value | Yes |
file_pattern | Pattern that matches to the filenames of the indicator | Yes |
palette | A valid colormap string | Yes |
title | Human-friendly title of the indicator | No |
graph_units | Unit to use in the graph | No |
Example config file:
[
{
"database_indicator": "NPP",
"file_pattern": "NPP*.tiff",
"graph_units": "Ktc",
"palette": "Greens"
},
{
"database_indicator": "NBP",
"file_pattern": "NBP*.tiff",
"palette": "Greens"
},
{
"database_indicator": "NEP",
"file_pattern": "NEP*.tiff",
"palette": "Reds"
},
{
"title": "AG Biomass",
"database_indicator": "Aboveground Biomass",
"file_pattern": "AG_Biomass_C_*.tiff",
"palette": "YlGnBu",
"graph_units": "Mtc"
}
]
Thanks goes to these wonderful people (emoji key):
moja global 📆 |
Abhineet 📖 💻 |
kaushik surya sangem 👀 |
Guy Janssen 📆 |
This project follows the all-contributors specification. Contributions of any kind are welcome!
The following people are Maintainers Reviewers Ambassadors or Coaches
Abhineet 📖 💻 |
kaushik surya sangem 👀 |
Maintainers review and accept proposed changes
Reviewers check proposed changes before they go to the Maintainers
Ambassadors are available to provide training related to this repository
Coaches are available to provide information to new contributors to this repository