Roughly one year ago, I posted here a tutorial on how to make basic GIS operations in R like importing, analysing, exporting and mapping spatial data, both raster and vectorial (i.
NOTE: This is an old version. The tutorial has been updated. You can find the new version HERE.
In a previous post I pointed out several free alternatives for Geographical Information Systems (GIS).
Next week I am teaching a course on statistical data analysis using R, here in the Department of Plant Sciences, University of Cambridge. It is aimed at advanced undergraduates, graduate students, and other researchers with no or little experience in statistical analysis and/or R.
My colleague Neftalí Sillero and Pedro Tarroso have published recently a nice comparative review of different free and open source Geographic Information Systems (GIS) which can be useful to ecologists and evolutionary biologists willing to start using these tools or trying alternatives to proprietary software (mostly ArcGIS).
Many of us often need to gather species lists, either from our own field surveys or from bibliographical sources and databases. Many problems may arise during this process. For instance, a species may have been given different names by different authors, and we don’t know which one is currently accepted.