Awesome

Planscape

Introduction

Planscape is a new wildfire resilience planning tool, bringing the best available state and federal data and science together to help regional planners prioritize landscape treatments for mitigating fire risk, maximizing ecological benefits and helping California’s landscapes adapt to climate change.

Please see our wiki for more information.

Features

Some of the things you can do in Planscape (WIP):

Visualize the Regional Resource Kit data layers
Highlight areas with best management potential
Generate project plans
Share and combine plans with collaborators

Set Up

See the Development getting started guide for how to download, build, and test Planscape.

Built With

PostGIS - database for storing user sessions and plans
Django REST framework - backend framework
black - code formatter
Angular - frontend framework
Leaflet - used to display maps and layers
ForSys - greedy heuristic optimization software package for land management planning and prioritization
PROMOTe - used to compute conditions from basic data, and find new optimal areas for treatment

Fun things

We have django-extensions installed, so there is a bunch of neat commands there.

Useful ones:

python manage.py show_urls
python manage.py shell_plus

Check the docs for more.

How to run black?

black is a uncompromising code formatter. For us to have a standardized repository, black is being used as the sole formatter.

During CI we will check if this passes black formatting. If it fails, it will stop the build.

This only affects GitHub actions - so we won't be able to merge if it fails.

You should run locally before your commits. You can do so by:

cd src/planscape
black .

Contributing

See CONTRIBUTING for additional information.

Public domain

This project is in the worldwide public domain. As stated in CONTRIBUTING:

This project is in the public domain within the United States, and copyright and related rights in the work worldwide are waived through the CC0 1.0 Universal public domain dedication.

All contributions to this project will be released under the CC0 dedication. By submitting a pull request, you are agreeing to comply with this waiver of copyright interest.