Recent Releases of pyro-risks
pyro-risks - Wildfire risk score and open source datasets
This first release provides models and datasets for wildfire risk estimation. Among others, this introduces a D-5 wildfire risk inference for French regional areas.
Note: pyro_risks mainly requires pandas, geopandas and scikit-learn , while the API only requires fastapi and uvicorn
Highlights
Datasets
Various datasets with entries indexed by location and time of measurement. New - Added NOAA & BDIFF (#6), NASAFIRMS (#7), FWI (#10), ERA5Land (#13), NASAVIIRS (#18), MergedEraFwiViirs (#22), ERA5T (#24, #29) datasets - Added dataset merging utilities (#9, #13), and closest neighbour aggregation (#13) - Added data source URL download for modis and ghcn (#4) - Added live API data fetching (#25)
Models
Trainable models to estimate wildfire risk New - Added Random Forest and XGBoost risk estimation models (#22, #25, #29)
Documentation
The documentation of the python library New - Added Sphinx documentation autobuild (#1) - Added datasets page (#6) - Updated README (#1, #16, #27) and added CONTRIBUTING (#16)
Tests
Unittests for the python package New - Added unittest for dataset instantiation (#6, #7, #4, #10, #13, #18, #23, #24, #25, #29) - Added unittests for model inference (#22, #25, #29)
Web Server
Web server made to expose some of the python library features New - Added basic FastAPI web server to expose wildfire risk inference (#27)
Others
New - Added package setup (#1, #6) and CI job (#1, #17) - Added CI jobs for lint checking, doc building and unittesting (#1, #5, #14) - Fixed geopandas installation in CI (#6) - Renamed repo and package (#12) - Added example scripts (#13, #18, #22, #24) - Added org funding option - Added docker orchestration for web server (#27) - Added Heroku deployment of web server (#27)
- Jupyter Notebook
Published by frgfm about 5 years ago
pyro-risks - Data file checkpoints
This release is only here as a safeguard if some files cannot be accessed on the source server.
- Jupyter Notebook
Published by chloeskt over 5 years ago