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GitHub / ghislainv / forestatrisk
📦🐍 Python package to model and forecast the risk of deforestation
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ghislainv%2Fforestatrisk
Stars: 115
Forks: 27
Open Issues: 7
License: gpl-3.0
Language: Python
Repo Size: 87.9 MB
Dependencies:
29
Created: over 7 years ago
Updated: 4 days ago
Last pushed: 10 days ago
Last synced: 5 days ago
Commit Stats
Commits: 579
Authors: 7
Mean commits per author: 82.71
Development Distribution Score: 0.024
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/ghislainv/forestatrisk
Topics: biodiversity-scenario, co2-emissions, deforestation, deforestation-risk, forecasting, forest-cover-change, ipbes, ipcc, land-use-change, protected-areas, python, redd, roads, spatial-analysis, spatial-autocorrelation, spatial-modelling, tropical-forests
Files
Dependencies
- JamesIves/github-pages-deploy-action v4.4.1 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- actions/checkout v3 composite
- actions/download-artifact v3 composite
- actions/setup-python v4 composite
- actions/upload-artifact v3 composite
- pypa/gh-action-pypi-publish release/v1 composite
- actions/checkout v4 composite
- actions/setup-python v5 composite
- pre-commit/action v3.0.0 composite
- earthengine-api *
- gdal *
- matplotlib *
- numpy *
- pandas *
- patsy *
- pywdpa *
- scikit-learn *
- earthengine-api *
- gdal *
- matplotlib *
- numpy *
- pandas *
- patsy *
- pywdpa *
- scikit-learn *