GRASS GIS 8.4.0RC1 released
Release candidate 1
The GRASS GIS 8.4.0RC1 release provides more than 515 improvements and fixes with respect to the release 8.3.2. Please support us in testing this release candidate.
Highlights
- location becomes project: The Python API, command line, and graphical user interface are now using project instead of location for the main component of the data hiearchy while maintaining backward compatibility.
- v.fill.holes: New tool to remove inner isles and to keep outer boundary only
- i.svm: New support vector machine image classification (SVM)
- r.horizon: Output for multiple points, distances, and many other improvements
- This work was funded was developed with funding from NSF Award #2322073, granted to Natrx, Inc.
- r.univar: Parallelization computation extended statistics
- JSON output format support (
format="json"
) in multiple tools (e.g., r.report, r.info, v.db.select, t.rast.list, etc.) - New grass.jupyter.SeriesMap class for animating series of vectors or rasters
- ipyleaflet integration for grass.jupyter to create a map in ipyleaflet and add GRASS data in a single line
- Greatly simplified the creation of new projects in Python (no more chicken and egg problems) – also in Jupyter notebooks
- This work was funded was developed with funding from NSF Award #2322073, granted to Natrx, Inc.
- GUI: New easy command history navigation through the History browser panel browser panel (details)
- GUI: Further improvements of new single-window GUI with undockable map display window, for a smoother user experience
- New GRASS GIS Programming Style Guide
New Addon Tools
- i.eodag: Downloads imagery datasets from various providers through the EODAG API.
- r.flowaccumulation: Calculates flow accumulation from a flow direction raster map using the Memory-Efficient Flow Accumulation (MEFA) parallel algorithm by Cho (2023).
- r.fusion: image fusion, generalized pan-sharpening.
- This work was funded by mundialis GmbH & Co. KG
- r.windfetch: addon for computing wind fetch.
- r.maxent.train & r.maxent.predict: train, and predict a Maxent model to create a suitability distribution layer.
Monthly Financial Supporters
OpenPlains Inc., Luis Bojórquez
What’s Changed
See https://github.com/OSGeo/
New Contributors
- Luís de Sousa (@ldesousa) made their first contribution in #3006
- Alexandre Detiste (@a-detiste) made their first contribution in #3076
- Michael Barton (@cmbarton) made their first contribution in #3279
- Alessandro Frigeri (@afrigeri) made their first contribution in #3258
- Florian Weimer (@fweimer-rh) made their first contribution in #3325
- Gregory Power (@gregorywaynepower) made their first contribution in #3338
- Sharan Jamanani (@Sharansrj567) made their first contribution in #3356
- @ymdatta made their first contribution in #3247
- @Ntp9413 made their first contribution in #3444
- Jaden Abrams (@jadenabrams100) made their first contribution in #3451
- @VeronicaKoess made their first contribution in #3311
- @naidneelttil made their first contribution in #3469
- Makiko Shukunobe (@mshukuno) made their first contribution in #3535
- Hamed Elgizery (@HamedElgizery) made their first contribution in #3550
- @kpolchow made their first contribution in #3544
- Christoph Reiter (@lazka) made their first contribution in #3709
- @ShubhamDesai made their first contribution in #3777
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This release has 10 assets. Visit the release page to download them.
Thanks to all contributors!