It has taken many years of development, but finally the new stable major release GRASS GIS 7.0.0 is available. Many congratulations to the developers, they did an incredible job. This version provides numerous new functionalities, including completely new modules (e.g., the spatio-temporal database support) and massive improvements in data handling, with support for massive vector layers and speed improvements.
The release candidate of GRASS GIS 7.0 has been released, with too many improvements and new features to summarize here. Go to http://trac.osgeo.org/grass/wiki/Release/7.0.0RC1-News and check out the details!
Kudos to the developers and for the users out there that are still using GRASS GIS 6.4… this is really a good time to switch to the latest and greatest!
A while back I wrote a GRASS GIS addon to calculate the Multivariate Environmental Similarity index (MES; see below for a short description). The addon was written as a shell script and R script and only runs on GRASS GIS 6.
I finally got around rewriting the addon in Python. This should make it easier to install (using the g.extension function) and it does not depend on R any more. You can install the addon from the g.extension menu or you can go here. Continue reading Update of r.mess to work in GRASS 7
The 4th beta release of GRASS GIS 7.0 is available for download. This is the last step before the planned release candidate (RC1), so a very good time to take it for a test run.
The most important changes in beta 4 are a major effort to standardize all parameter and flag names. This will bring a better and more consistent user experience. For more details and the download links, to to http://trac.osgeo.org/grass/wiki/Release/7.0.0beta-News
The two easiest ways to reclassify a raster layer in GRASS GIS are using the r.reclass or r.recode functions. Although both are easy enough to use, sometimes it would be nice if you could just provide the input layer and a simple table with re-class values to create new raster maps. A fairly trivial task, so ideal to make another attempt at creating a python script.
I create a small add-on (r.recode.attr) that let you reclass/recode a raster layer based on values in a csv (comma separated text) file. The csv file should include one column with the raster values and one or more columns with the reclassification values. For each of these columns a new map will be created. See the manual page for more information. Continue reading Recode your raster file in GRASS GIS using a csv file
QGIS Brighton (2.6) is out, with tons of new features and improvements. Check it out on http://qgis.org/.
For an overview of the new features, check out this change log. You really should check it out. I just had a look and although I am using the trunk and beta versions for some time now, I still noticed quite a few new features I hadn’t discovered yet!
GRASS 7 sports very significant improvements and numerous new functions. For example, the improved graphical user interface makes it much easier to carry out complex GIS operations and handling of vector data has become much faster and more efficient with very large files. There is a large number of new analytical raster and vector modules and existing modules are now much faster (some even 1000 x faster). Beta 3 ships 390 fixes and improvements with respect to beta 2. For more details, go to http://grass.osgeo.org/news/37/15/GRASS-GIS-7-0-0-beta3/.