GRASS GIS 6.4.2 released
19 February 2012

We are pleased to announce the release of a new stable version of
GRASS GIS. This release fixes bugs discovered in version 6.4.1 of the
program and adds a number of new features. This release includes over
760 updates to the source code since 6.4.1. As a stable release series,
the 6.4 line will enjoy long-term support and incremental enhancements
while preserving backwards-compatibility with the entire GRASS 6 line.

The new wxPython graphical user interface (wxGUI) has been updated
with many new features and tools. Python is now a fully supported
scripting language, including an updated Python toolkit to simplify
the authoring of personal scripts, support for NumPy based array
calculations, and a Python application interface for the GRASS C
libraries. Additionally, MS-Windows support continues to mature.
GRASS 6.4.2 debuts ten new modules, a new GUI cartographic composer
tool, a new GUI object-oriented modeling environment, and improved
infrastructure for installing community supplied add-on modules.

Read the full story at


The Geographic Resources Analysis Support System, commonly referred to
as GRASS, is an Open Source Geographic Information System (GIS) and
geospatial analysis toolkit. For nearly three decades, GRASS has
provided powerful raster, vector, and geospatial processing engines in
a single integrated software suite. GRASS includes tools for spatial
modeling of raster and vector data, visualization, the management and
analysis of geospatial information, and the processing of satellite
and aerial imagery. It also provides the capability to produce
sophisticated presentation graphics and publication-quality hardcopy
maps. GRASS has now been translated into twenty languages and supports
an extensive array of data formats. It is distributed under the terms
of the GNU General Public License (GPL).

GRASS differs from many other GIS software packages used in the
academic and professional worlds in that it is developed and
distributed by users for users, mostly on a volunteer basis. Its code
and spatial processing algorithms are open and transparent, and the
software is distributed free of charge. The source code is also freely
available, allowing for immediate customization, examination of the
underlying algorithms, the addition of new features, and faster
identification and patching of bugs.

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