Monthly Archives: March 2011

New spatialite plugin for QGIS

For some time now it is possible to load SpatiaLite data layers in QGIS. It is read only though, any changes will need to be saved as shapefile. There is a Spatialite manager plugin, which offers an interface to the … Continue reading

Posted in GIS, GIS software, Spatialite, SQLite | Tagged , , , , | 1 Comment

Online data: map of global urbanization

This is an interesting data source on urban extent I hadn’t come across yet. It is based on Modis data and available at and is described in more detail in an article by Scheider et al. (2009). Also check … Continue reading

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R/GRASS connection: more than the sum of its parts

GRASS GIS is a very powerfull GIS offering an extensive set of tools for geospatial data management and analysis, image processing, and spatial modeling. The possibility to directly interact with R further improves the geospatial analysis capabilities of GRASS (see … Continue reading

Posted in Data handling, GIS, GRASS GIS, Modelling, R computing environment | Tagged , , , , , | 14 Comments

Visualizing confidence in data on map: example of SoilWeb Mobile

See this post for a nice example how one can display the level of confidence in the data presented for a mapping unit on a map. The SoilWeb provides the distance from the nearest map unit polygon boundary. It gives … Continue reading

Posted in Data handling, Data sources, decision support tool, online mapping | Tagged , , | Leave a comment

R plot in ZIM desktop wiki

I am using Zim desktop wiki extensively as my note taking tool. To quote their website, “Zim is a graphical text editor used to maintain a collection of wiki pages. Each page can contain links to other pages, simple formatting … Continue reading

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Combining text from data frame in one text string in R

Earlier I wrote about the custom STRJOIN function in OpenOffice. A very handy function when you need to combine all values in a row or column (or combination of the two), separated by a delimiter. In R this is (also) … Continue reading

Posted in Data handling, R computing environment | Tagged , | 1 Comment