The 8.2.0 release of GRASS GIS is now available with results from the GSoC 2021 and many other additions. A new grass.jupyter package is now included for interacting with Jupyter notebooks. Single window graphical user interface is available in GUI settings. r.series and three other modules are newly parallelized. Additionally, the release includes a series of scripting, packaging, and reproducibility improvements.
For all 220+ changes, see our detailed announcement with the full contributors and list of features and bugs fixed at GitHub / Releases / 8.2.0. Special thanks to GSoC students, their mentors, and first-time contributors!
Packages and installers are now available for Windows, macOS, Debian, Fedora, and Gentoo with more coming soon.
After more than 3 year of development the first stable release GRASS GIS 8.0.0 is available. Efforts have concentrated on making the user experience even better, providing many new useful additional functionalities to modules and further improving the graphical user interface.
Breaking news: new graphical user interface with entirely rewritten startup sequence!
This re-establishes user experience compatibility with QGIS and other connected software packages.
With the introduction of the semantic label raster metadata class, the temporal database was modified to version 3. Hence, to be able to read and process GRASS 7.x space-time datasets, users will be prompted to run t.upgrade. If users want to read newly created space-time datasets back in GRASS 7.x, they can run t.downgrade.
Launching the software
The user experience of the graphical user interface has been completely rewritten: no more clumsy selection screens – just enter the menu system directly! And on command line, GRASS GIS now starts versionless, i.e. as grass. Enjoy!
After more than 3 year of development the first stable release GRASS GIS 8.0.0 is available. Efforts have concentrated on making the user experience even better, providing many new useful additional functionalities to modules and further improving the graphical user interface.
Breaking news: new graphical user interface with entirely rewritten startup sequence!
This re-establishes user experience compatibility with QGIS and other connected software packages.
With the introduction of the semantic label raster metadata class, the temporal database was modified to version 3. Hence, to be able to read and process GRASS 7.x space-time datasets, users will be prompted to run t.upgrade. If users want to read newly created space-time datasets back in GRASS 7.x, they can run t.downgrade.
Launching the software
The user experience of the graphical user interface has been completely rewritten: no more clumsy selection screens – just enter the menu system directly!
And on command line, GRASS GIS now starts versionless, i.e. as grass.
As a follow-up to the previous GRASS GIS 7.8.4 we have published the new release GRASS GIS 7.8.5 with more than 80 improvements. This minor release offers new wxGUI fixes across the tree. Also the addon extension manager received various stability fixes. VRT raster map with tiled raster maps can now be properly exported and imported in the native GRASS GIS raster format.
The Geographic Resources Analysis Support System (https://grass.osgeo.org/), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities. It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics or in the cloud. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).
In episode 86 of MapScaping podcast, Markus Neteler talks about the functionality offered (the topological vector engine, 2D and 3D raster analysis, image processing and available programming interfaces), and whom GRASS GIS is for.
Markus is the cofounder of mundialis, a Bonn based business. He is also the Chairman of the GRASS GIS Project Steering Committee.
https://neteler.org/wp-content/uploads/2024/01/wg_neteler_logo.png00Markushttps://neteler.org/wp-content/uploads/2024/01/wg_neteler_logo.pngMarkus2020-12-13 21:49:292024-01-22 22:21:44MapScaping podcast: GRASS GIS probably doesn’t get the attention it deserves
As a follow-up to the previous GRASS GIS 7.8.3 we have published the new release GRASS GIS 7.8.4 with more than 170 improvements. This minor release again focuses on wxGUI fixes, especially in the animation export, the layer management, 3D visualization and the data catalogue. Many display modules received fixes as well, and the vector digitizer now works as expected.
The Geographic Resources Analysis Support System (https://grass.osgeo.org/), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities. It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics or in the cloud. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).
GRASS GIS 7.8.2 released with updated PROJ 6 and GDAL 3 support
What’s new in a nutshell
As a follow-up to the recent GRASS GIS 7.8.1 we have pusblished the new stable release GRASS GIS 7.8.2.
Besides other improvements, the release contains important PROJ 4/5/6 related datum handling fixes, wxGUI fixes and a fix for the vector import from PostGIS databases.
The Geographic Resources Analysis Support System (https://grass.osgeo.org/), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities in a single integrated software suite. GRASS GIS includes tools for spatial modeling, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It also provides the capability to produce sophisticated presentation graphics and hardcopy maps. GRASS GIS has been translated into about twenty languages and supports a huge array of data formats. It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).
Please help us testing the Python3 support in the yet unreleased GRASS GIS trunk (i.e., version “grass77” which will be released as “grass78” in the near future).
Why Python 3?
Python 2 is end-of-life (EOL); the current Python 2.7 will retire in 11 months from today (see https://pythonclock.org). We want to follow the “Moving to require Python 3” and complete the change to Python 3. And we need a broader community testing.
https://neteler.org/wp-content/uploads/2024/01/wg_neteler_logo.png00Markushttps://neteler.org/wp-content/uploads/2024/01/wg_neteler_logo.pngMarkus2019-01-28 00:32:592023-12-07 13:33:49Call for testing: GRASS GIS with Python 3
Today marks 35 years of GRASS GIS development – with frequent releases the project keeps pushing the limits in terms of geospatial data processing quality and performance.
GRASS (Geographic Resources Analysis Support System) is a free and open source Geographic Information System (GIS) software suite used for geospatial data management and analysis, image processing, graphics and map production, spatial modeling, and 3D visualization. Since the major GRASS GIS 7 version, it also comes with a feature rich engine for space-time cubes useful for time series processing of Landsat and Copernicus Sentinel satellite data and more. GRASS GIS can be either used as a desktop application or as a backend for other software packages such as QGIS and R. Furthermore, it is frequently used on HPC and cloud infrastructures for massive parallelized data processing.
Brief history
In 1982, under the direction of Bill Goran at the U.S. Army Corps of Engineers Construction Engineering Research Laboratory (CERL), two GIS development efforts were undertaken. First, Lloyd Van Warren, a University of Illinois engineering student, began development on a new computer program that allowed analysis of mapped data. Second, Jim Westervelt (CERL) developed a GIS package called “LAGRID – the Landscape Architecture Gridcell analysis system” as his master’s thesis. Thirty five years ago, on 29 July 1983, the user manual for this new system titled “GIS Version 1 Reference Manual” was first published by J. Westervelt and M. O’Shea. With the technical guidance of Michael Shapiro (CERL), the software continued its development at the U.S. Army Corps of Engineers Construction Engineering Research Laboratory (USA/CERL) in Champaign, Illinois; and after further expansion version 1.0 was released in 1985 under the name Geographic Resources Analysis Support System (GRASS). The GRASS GIS community was established the same year with the first annual user meeting and the launch of GRASSnet, one of the internet’s early mailing lists. The user community expanded to a larger audience in 1991 with the “Grasshopper” mailing list and the introduction of the World Wide Web. The users’ and programmers’ mailing lists archives for these early years are still available online.
In the mid 1990s the development transferred from USA/CERL to The Open GRASS Consortium (a group who would later generalize to become today’s Open Geospatial Consortium — the OGC). The project coordination eventually shifted to the international development team made up of governmental and academic researchers and university scientists. Reflecting this shift to a project run by the users, for the users, in 1999 GRASS GIS was released under the terms of the GNU General Public License (GPL). A detailed history of GRASS GIS can be found at https://grass.osgeo.org/history/.
Where to next?
The development on GRASS GIS continues with more energy and interest than ever. Parallel to the long-term maintenance of the GRASS 7.4 stable series, effort is well underway on the new upcoming cutting-edge 7.6 release, which will bring many new features, enhancements, and cleanups. As in the past, the GRASS GIS community is open to any contribution, be it in the form of programming, documentation, testing, and financial sponsorship. Please contact us!
About GRASS GIS
The Geographic Resources Analysis Support System (https://grass.osgeo.org/), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities in a single integrated software suite. GRASS GIS includes tools for spatial modeling, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It also provides the capability to produce sophisticated presentation graphics and hardcopy maps. GRASS GIS has been translated into about twenty languages and supports a huge array of data formats. It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).
https://neteler.org/wp-content/uploads/2024/01/wg_neteler_logo.png00Markushttps://neteler.org/wp-content/uploads/2024/01/wg_neteler_logo.pngMarkus2018-07-29 19:16:022024-11-18 13:37:04Celebrating 35 years of GRASS GIS!
After three months of development the new update release GRASS GIS 7.2.2 is available. It provides more than 120 stability fixes and manual improvements compared to release version 7.2.1. An overview of new features in the 7.2 release series is available at New Features in GRASS GIS 7.2.
About GRASS GIS 7: Its graphical user interface supports the user to make complex GIS operations as simple as possible. The updated Python interface to the C library permits users to create new GRASS GIS-Python modules in a simple way while yet obtaining powerful and fast modules. Furthermore, the libraries were again significantly improved for speed and efficiency, along with support for huge files. A lot of effort has been invested to standardize parameter and flag names. Finally, GRASS GIS 7 comes with a series of new modules to analyse raster and vector data, along with a full temporal framework. For a detailed overview, see the list of new features. As a stable release series, 7.2.x enjoys long-term support.
The Geographic Resources Analysis Support System (https://grass.osgeo.org/), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities in a single integrated software suite. GRASS GIS includes tools for spatial modeling, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It also provides the capability to produce sophisticated presentation graphics and hardcopy maps. GRASS GIS has been translated into about twenty languages and supports a huge array of data formats. It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).
The 8.2.0 release of GRASS GIS is now available with results from the GSoC 2021 and many other additions. A new grass.jupyter package is now included for interacting with Jupyter notebooks. Single window graphical user interface is available in GUI settings. r.series and three other modules are newly parallelized. Additionally, the release includes a series of scripting, packaging, and reproducibility improvements.
Follow