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Changelog

forestatrisk 1.2.1

forestatrisk 1.2

  • Removing dependencies to Earth Engine API and RClone which were used to interact with Google Earth Engine and Google Drive to compute and download forest and WHRC biomass data.
  • Removing functions run_gee_forest() (and alias country_forest_run()), download_forest(), and dependencies.
  • Removing functions run_gee_biomass_whrc(), download_biomass_whrc(), and dependencies.
  • Package geefcc can now be used to compute and download forest from GEE.
  • Adding dependency to geefcc.
  • Upgrading GADM to v4.1.
  • New Python API doc on website.
  • Modifying random forest to accept number of trees and max depth.
  • Update progress bar to mimic gdal progress.
  • Compatibility with Python >= 3.12 and Numpy >= 1.23
  • Several other improvements and bug corrections: https://github.com/ghislainv/forestatrisk/compare/v1.1.3...v1.2

forestatrisk 1.1.3

  • Improve usage on multiple operating systems.

forestatrisk 1.1.2

  • New wheels for Python 3.9 to 3.11.

forestatrisk 1.1.1

  • Adding biomass from WHRC.
  • Let the user select the Agg display for matpotlib.

forestatrisk 1.1

  • Bug correction and optimization of function .deforest().
  • New tutorial for New Caledonia.

forestatrisk 1.0

  • Version associated to the publication in JOSS.
  • Adding a Contributing section.
  • Adding Community guidelines and a Code of conduct.

forestatrisk 0.2

  • New module organization.
  • Adding a logo for the package.
  • Package website at https://ecology.ghislainv.fr/forestatrisk/.
  • Update docstring in Python functions.
  • New documentation with Sphinx.
  • Continuous Integration with GitHub Actions.
  • CI: Automated tests with pytest
  • CI: Wheel build for PyPI.

forestatrisk 0.1.1

  • New ee_jrc function to compute forest cover with GEE.
  • Use of rclone to interact with GoogleDrive.
  • Updated dependencies.
  • Use of pywdpa to download protected areas.
  • New tutorials.
  • Tests have been added.

forestatrisk 0.1

  • First release of the package (previously called deforestprob).