GRASS GIS 6.4.3RC4 released

July 11, 2013 Markus Neteler

Fourth (and last) release candidate of GRASS GIS 6.4.3 with improvements and stability fixes
A fourth release candidate of GRASS GIS 6.4.3 is now available.

Source code download:

Binaries download:

To get the GRASS GIS 6.4.3RC4 source code directly from SVN:
svn checkout http://svn.osgeo.org/grass/grass/tags/release_20130710_grass_6_4_3RC4

Key improvements of this release include some new functionality (assistance for topologically unclean vector data), fixes in the vector network modules, fixes for the wxPython based portable graphical interface (attribute table management, wxNVIZ, and Cartographic Composer), fixes in the location wizard for Datum transform selection and support for PROJ.4 version 4.8.0, improvements for selecting the Python version to be used, enhanced portability for MS-Windows (native support, fixes in case of missing system DLLs), and more translations (esp. Romanian).

See also our detailed announcement:
http://trac.osgeo.org/grass/wiki/Release/6.4.3RC4-News

First time users should explore the first steps tutorial after installation.

Release candidate management at
http://trac.osgeo.org/grass/wiki/Grass6Planning

Please join us in testing this release candidate for the final release.

Consider to donate pizza or beer for the upcoming GRASS GIS Community Sprint in Prague:

http://grass.osgeo.org/donations/

Thanks to all contributors!

by neteler at 4:06 PM under blog , gis , grass , grass development , opensource , osgeo , python (Comments)

Infrastructure Coverage based on Open Data

July 24, 2011 Anita Graser

This is something I have been wanting to do for a long time: map which areas of Vienna have fast access to a certain kind of infrastructure. Now, I finally found time and data to perform this analysis. Data used is OSM road data (Cloudmade shapefile) for Austria and metro station coordinates for Vienna by Max Kossatz and Robert Harm.

Before importing the OSM roads into PostGIS, I cut out my area of interest and created a clean topology using GRASS v.clean.break. Once loaded into the database, assign_vertex_id() function does the rest and the network is ready for routing and distance calculations.
For the metro stations, I calculated the nearest network node using George MacKerron’s Nearest Neighbor function.

Catchments were calculated using driving_distance() function. It returns distance to a given metro station for all network nodes (up to a maximum distance). The result can be interpolated to show e.g. which areas are at most 1 km away from any metro station.

1 km catchments around metro stations in Vienna

Close-up look at the 1 km catchment zone border

Once set up, performing this analysis is reasonably fast. Instead of metro stations, any other infrastructure coverage can be analyzed easily. I could imagine this being really useful when looking for a new flat: “Find me an area close to work, a metro station and a highschool.”

The next great thing would be to have all data for calculation of transit travel times too. Yes, I’m looking at you Wiener Linien!

by underdark at 5:04 PM under grass , osm , pgrouting , postgis (Comments)

QGIS with WPS Plugin in Action

January 28, 2011 Anita Graser

The following video by soerengebbert shows the latest developments in OS WPS applications: PyWPS (using wps-grass-bridge to integrate GRASS modules as WPS processes), GRASS 7, and QGIS using the qwps plugin by Horst Düster (all latest svn versions).