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.

1. Clone the repository and cd into it:

git clone https://github.com/moja-global/GCBM.Visualisation_Tool
cd GCBM.Visualisation_Tool

2. Create a conda environment and activate it:

conda env create -f environment.yml

conda activate taswira

3. 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:

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 Tamrakar 📖 💻

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 Tamrakar 📖 💻

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