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 second release candidate of the upcoming stable GRASS GIS 7.0.0 version has been released. You can read the announcement here (including the download links) or the more detailed news about the release candidate here.
If you are still using GRASS 6.4, this long list of new features and improvements implemented in GRASS GIS 7 will give you plenty of reasons why you should try out the latest and greatest.
Riitters et al. (2000) proposed a quick approach to measure the degree of forest fragmentation that could be relatively easily implemented and which only required a map with forest and non-forest. Following their approach, Sylla consult created a shell script for GRASS GIS 6.4 to create a raster layer with six categories (non-forest, patch, transitional, edge, perforated, interior and undetermined) as a measure of forest fragmentation. See their blog post with an explanation how the script works or the above-cited article for a more in-depth description.
I adapted the script to make it work on GRASS 7.0, including some further improvements, such as the option to select the size of the moving window, the option to trim the output layer to avoid the edge effect that comes with moving-window calculations and the option to keep intermediate layers.
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
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
Since I have switch from Windows to Linux, many years ago, things have started to look a lot brighter for those wanting to use GRASS on Windows. I won’t switch back to Windows any time soon, but I recently had to install WinGRASS for somebody else. And it was a whole lot easier than I had feared (or even hoped).
But there is one thing I couldn’t immediately figure out; how to run R from within GRASS. I should add that I installed GRASS using the OSGEO4W installer. When installing GRASS using the stand alone installer, access to R from the GRASS command line should work out-of-the-box (see comment from Helmut in the comment section below).
After a bit of trial and error, I came up with the steps below. It involves editing a file to tell GRASS where to look for executables. In the example below I am adding the path to the R and rstudio executables to this file. Having done that, I can now type R.exe or rstudio.exe on the GRASS command line to open these programs. Continue reading