From neteler at osgeo.org Wed Jun 19 02:28:10 2024 From: neteler at osgeo.org (Markus Neteler) Date: Wed, 19 Jun 2024 11:28:10 +0200 Subject: [GRASS-announce] GRASS GIS 8.4.0RC1 release In-Reply-To: References: Message-ID: GRASS GIS 8.4.0RC1 release 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 Boj?rquez What's ChangedSee https://github.com/OSGeo/grass/releases/tag/8.4.0RC1New Contributors - Lu?s 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 ? This release has 10 assets. Visit the release page to download them. Thanks to all contributors! -------------- next part -------------- An HTML attachment was scrubbed... URL: