Finding open data for the Netherlands

Open data is  becoming increasingly important and there are considerable advantages, such as accountability, cost and time savings for users, easier knowledge sharing and increased efficiency in public services.

The importance of open data is more and more recognized (see e.g., this blog article (in Dutch) and this and this report). However, to bank on such advantages, there is a need to increase awareness about open data and make it easy to find and use the open data.  Continue reading “Finding open data for the Netherlands”

GRASS GIS 7.0.2 released

For those who haven’t seen it yet, GRASS GIS 7.0.2 has been released! See here for the announcement and here for a detailed overview of all the changes (over 190 of stability fixes and improvements since GRASS GIS 7.01).

For those still using GRASS GIS 6.4, GRASS GIS 7 offers a strongly improved interface, a considerable increases in speed and efficiency, support for huge files, and a long list of new modules to analyse raster and vector data, including a full temporal framework. Also important, as a stable release series, 7.0.x enjoys long-term support.

As usual, a great thanks to the developers!

Importing GLCF MODIS woody plant cover

The data set

The Global Land Cover Facility offers, amongst many other data sets, the MODIS Vegetation Continuous Fields data set for download. These are layers that contain proportional estimates for vegetative cover types (woody vegetation, herbaceous vegetation, and bare ground). As such they are very suitable depict areas of heterogeneous land cover.

Their MODIS products differ from DAAC editions by coming in GeoTIFF format, geographic coordinates, WGS84 datum, and a tiling system designed to fit well with Landsat imagery. Currently the collection 5 is available, which contains proportional estimates for woody cover vegetation for the years 2000 to 2010. It can be downloaded as tiles (195 in total) via a ftp server.

Below I’ll provide an example Continue reading “Importing GLCF MODIS woody plant cover”

Computing MESS in R and GRASS – a speed comparison

The Multivariate Environmental Similarity Surfaces (MESS) is an index that represents how similar a point is to a reference set of points, with respect to a set of predictor variables (Elith et al (2010). The function was first implemented as part of the Maxent software package, but is now also available in R and GRASS. Below, I will compare how fast the different implementations are. Continue reading “Computing MESS in R and GRASS – a speed comparison”

The all new shiny QGIS 2.0 has arrived

And it is looking great. I have been using the master (development) version for some time now, so I can tell you out of experience that this release rocks! Some of my favourites are the greatly improved map composer, great new styling features, integration of Sextante in QGIS core and much improved stability. For a list of major changes and new functions, go here. But, of course, don’t take my word for it, but check it out yourself and get a copy from the QGIS website. Continue reading “The all new shiny QGIS 2.0 has arrived”

Update of the r.forestfrag addon for GRASS GIS

Some time ago I came across this post from Sylla Consult about a script to calculate forest fragmentation index suggested by Riitters et al. (2000). Obviously, it can be used for any land cover type, so perhaps landscape fragmentation index would be a better name. Anyway, the script is available from the GRASS-addons page.

Unfortunately, it only worked with GRASS 6.4. Because I mostly work in GRASS 7.0 I adapted the script to make it work on GRASS 7.0.  I also added some additional options and changes: Continue reading “Update of the r.forestfrag addon for GRASS GIS”