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Category Archives: Modelling
A faster way to calculate MESS in R – or – a tribute to Stack overflow
Jean-Pierre Rossi introduced a function to calculate the “Multivariate Environmental Similarity Surfaces” in R. Since then, the function has become part of the dismo package, which is a package maintained by Robert J. Hijmans and which offers a whole lot of … Continue reading
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 … Continue reading
Posted in Modelling, R computing environment
Tagged bioclim, dismo, glm, R, spatial models, suitability modelling
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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 GIS, GRASS GIS, R, scripting, species distribution modeling, tutorial
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Calculating bioclim variables in GRASS GIS
A script is provided to calculate Bioclim variables in GRASS GIS on Linux using monthly temperature and rainfall data. Continue reading
Posted in GIS, GIS software, GRASS GIS, Modelling
Tagged climate data, GRASS GIS, open source, scripting, species distribution modeling, WorldClim
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