New command dialogue styles for GRASS GIS

In the latest development version of GRASS GIS (version 7.0) there is now the option to switch between different command dialogue styles. There are 4 styles, 3 of them are new and they are providing platform native look. The two basic styles inherit system colours, which might be good news for people with unusual themes. See the announcement in the GRASS-dev email list for more information.  And check out some screenshots below. Continue reading “New command dialogue styles for GRASS GIS”


OpenGeoDa – cross-platform and open source

GeoDa has been around for a while. It is a great and user-friendly tools for spatial analysis. It was however only available for Windows. That was last time I looked (quite some time ago).

I just checked out their website, and to my pleasant surprise, there is a new version, OpenGeoDa, which is not only cross platform now, but also open source (under the GPL v3.0 license). The functions / options are very similar otherwise, so users of the older legacy GeoDa should have no problem using OpenGeoDa instead.

A short note on the use of predict with the dismo or raster package

R has some great packages for species distribution modelling. One of these packages is the dismo package.

Models objects created with one of the various distribution models available in dismo can be used to make prediction for any combination of values of the independent variables. To do this, you use the ‘predict‘ function. The predict function requires a model object and a RasterStack or dataframe with the independent variables.

So, what will be faster, a RasterStack or dataframe as input in the predict function? Continue reading “A short note on the use of predict with the dismo or raster package”

Docear 1.0 Beta 5 now with Zotero support

It looks like the people behind Docear had a look at my personal wishlist with some great new features (unfortunately one of these features is Windows only, see below). Most important, in my opinion, Docear now comes with Zotero support. This is really great news.

On Windows (or if you run one of the recommended pdf readers under Wine), it comes with much better PDF Reader support, with pdf’s being opened on the page of an annotation. Moreover, annotations from RepliGo, an Android pdf reader, can also be imported by Docear.

See here for a overview of all new features and improvements.

Massive data in GRASS GIS: try GRASS 7.0

If you have to deal with really large data sets in GRASS GIS, you might want to check out the new GRASS Wiki category; Massive data analysis. It contains a lot of good information and suggestions what you can do in such situations. Markus, who shared this link in a comment on an earlier post, also suggested to use GRASS 7, which is being made large file support (LFS) compliant. I am using GRASS 7.0 for some time now, and I would add to that version 7 has a much improved vector handling, and numerous other improvements and new features. Continue reading “Massive data in GRASS GIS: try GRASS 7.0”

New: Quantum map, a simplified QGIS version

An announcement on the QGIS mailing list about NIWA Quantum map made me curious. How is this going to differ from QGIS? As it turns out, NIWA Quantum map is basically QGIS with a simplified interface, i.e., it has some GIS functionality hidden or removed to be less confusing for users not familiar with GIS. They used the customization options to disable the editing functions, so users can enable that if required. I wonder though why they did not do the same with the analytical functions, rather then removing it all together.

It furthermore has a custom plugin added to provide easy access to a number of data layers for New Zealand. As these are WMS or WFS data sources, you can of course open them in QGIS too, or any WMS or WFS compatible software for that matter.