[GRASS-announce] GRASS GIS 8.4.0 released

[Markus Neteler]

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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