A web app to visualise the spread of pollution through water networks.
This work is part of the Coupled human and natural critical ecosystems (CHANCE) project
Tested with Python 3.6 and 3.7
git clone https://github.com/alan-turing-institute/chance-water-distributionpip install -r requirements.txtgit submodule update --init --recursivebokeh serve --show waterdocker pull turinginst/chance-water:no-flaskdocker run -p 5006:5006 turinginst/chance-water:no-flaskThe image is hosted on DockerHub and is set to build from pushes to the master branch of this repo.
Content type
Image
Digest
Size
706.5 MB
Last updated
over 6 years ago
docker pull turinginst/chance-water