[GRASS-dev] GRASS GIS 7.2.0 released
Markus Neteler
neteler at osgeo.org
Sat Dec 31 08:01:53 PST 2016
*We are pleased to announce the stable release of GRASS GIS 7.2.0*
*What's new in a nutshell*
After almost two years of development the new stable major release GRASS
GIS 7.2.0 is available. It provides *more than 1950 stability fixes and
manual improvements* compared to the former stable release version 7.0.5.
The new version includes a series of new modules to analyse raster and
vector data along with new temporal algebra functionality.More than *50 new
addons* are also available. A summary of the new features is available at New
Features in GRASS GIS 7.2
<https://trac.osgeo.org/grass/wiki/Grass7/NewFeatures72>.
*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 <https://grass.osgeo.org/grass72/manuals/libpython/>
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
<https://grasswiki.osgeo.org/wiki/Category:Massive_data_analysis>. 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
<https://trac.osgeo.org/grass/wiki/Grass7/NewFeatures72>. As a stable
release series, 7.2.x enjoys *long-term support*.
*Binaries/Installer download:*
- winGRASS 7.2.0: 32bit standalone installer
<https://grass.osgeo.org/grass72/binary/mswindows/native/x86/WinGRASS-7.2.0-1-Setup-x86.exe>
| 64bit standalone installer
<https://grass.osgeo.org/grass72/binary/mswindows/native/x86_64/WinGRASS-7.2.0-1-Setup-x86_64.exe>
- winGRASS 7.2.0 OSGeo4W - testing area: 32bit OSGeo4W installer
<http://download.osgeo.org/osgeo4w/osgeo4w-setup-x86.exe> | 64bit
OSGeo4W installer
<http://download.osgeo.org/osgeo4w/osgeo4w-setup-x86_64.exe>
- Debian <https://packages.debian.org/grass> installer
- MacPorts <https://www.macports.org>
- openSUSE
<https://build.opensuse.org/package/show?package=grass&project=Application%3AGeo>
- ubuntugis-unstable
<https://launchpad.net/%7Eubuntugis/+archive/ubuntu/ubuntugis-unstable>
- *... further binary packages for various Linux distributions and Mac
OSX will follow shortly.*
*Source code download:*
- https://grass.osgeo.org/grass72/source/
- https://grass.osgeo.org/grass72/source/grass-7.2.0.tar.gz
- To get the GRASS GIS 7.2.0 source code directly from SVN, see here
<https://trac.osgeo.org/grass/wiki/Release/7.2.0-News#SVNSourceCode>.
*More details:*
See also our detailed announcement:
https://trac.osgeo.org/grass/wiki/Release/7.2.0-News
https://trac.osgeo.org/grass/wiki/Grass7/NewFeatures72 (overview of new 7.2
stable release series)
https://grass.osgeo.org/grass72/manuals/addons/ (list of available addons)
First time users may explore the first steps tutorial
<https://grass.osgeo.org/documentation/first-time-users> after installation.
*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).
*The GRASS Development Team, December 2016*
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