The GRASS GIS 8.4.0 release provides more than 520 improvements and fixes with respect to the release 8.3.2. 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 - 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 - GUI: New easy command history navigation through the History browser panel browser panel (details <https://grass.osgeo.org/news/2024_06_06_result_student_grant_linda_karlovska/> ) - GUI: Further improvements of new single-window GUI with undockable map display window, for a smoother user experience - New GRASS GIS Programming Style Guide <https://github.com/OSGeo/grass/blob/main/doc/development/style_guide.md> New Addon Tools - i.eodag <https://grass.osgeo.org/grass-stable/manuals/addons/i.eodag.html>: Downloads imagery datasets from various providers through the EODAG API. - r.flowaccumulation <https://grass.osgeo.org/grass-stable/manuals/addons/r.flowaccumulation.html>: Calculates flow accumulation from a flow direction raster map using the Memory-Efficient Flow Accumulation (MEFA) parallel algorithm by Cho (2023). - r.fusion <https://grass.osgeo.org/grass-stable/manuals/addons/r.fusion.html>: image fusion, generalized pan-sharpening. - This work was funded by mundialis GmbH & Co. KG <https://www.mundialis.de/> - r.windfetch: addon for computing wind fetch. - r.maxent.train <https://grass.osgeo.org/grass-stable/manuals/addons/r.maxent.train.html> & r.maxent.predict <https://grass.osgeo.org/grass-stable/manuals/addons/r.maxent.predict.html>: train, and predict a Maxent model to create a suitability distribution layer. For further details, see - https://grass.osgeo.org/news/2024_07_27_grass_gis_8_4_0_released - https://grass.osgeo.org/download/ - https://github.com/OSGeo/grass/releases/tag/8.4.0 Thanks to all contributors!
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