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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 GIS, open source, QGIS, software release, Spatialite
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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 http://sage.wisc.edu/people/schneider/research/data.html and is described in more detail in an article by Scheider et al. (2009). Also check … Continue reading
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 GIS, GRASS GIS, R, scripting, species distribution modeling, tutorial
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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 confidence, online mapping, soil map
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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
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
