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GEOSTAT tutorials

GEOSTAT software

Software iconList of FOSS software used in this course and installation instructions. Follow these instructions to prepare and customize the software before the beginning of the course.

Literature used

ASDAR bookList of books / lecture notes used in this course. See also: CRAN Task View: Analysis of Spatial Data.


« February 2017 »


During the course, four software packages will be used to run the exercises: R, Google Earth, SAGA GIS, GDAL, QGIS and GRASS GIS. Install and costumize software used by the lecturers before the start of the course (testing them out is also a good idea). More detailed installation instructions you can find here.

In summary (please respect the installation order):

R and packages

1. Download and install the most recent version of R (3.2.0);

2. Start R GUI and install necessary packages: 

> install.packages("ctv") 
> library(ctv) 
> ## on OSX, for rgdal and rgeos if necessary use
> ## setRepositories(ind=1:2)
> install.views("Spatial")
> install.packages("rgeos")
> install.packages("raster")

R code editors

Download and install RStudio and/or Tinn-R (see user manual). You can use either of the two R editors (or stick to the original RGui).


Install QGIS 2.8 or greater. Simply download the installer and select default installation settings.


Download and unzip SAGA GIS v2.2. (best under "R/library/RSAGA/saga_vc"); compiled binaries - no installation is needed! Check first whether you can use the 64bit version or the 32bit of the SAGA GIS.

SAGA GIS installation files


Download and install GDAL. Under Windows OS, you can locate the .exe files on your machine by using e.g. (learn more about the GDAL utilities):

> gdal.path = shortPathName("C:/Program files/GDAL") 
> gdalwarp = paste(gdal.path, "gdalwarp.exe", sep="/") 

To send an operation to GDAL we can then run:

> system(gdalwarp)

The package gdalUtils allows you to send operations from R to GDAL, so that the integration goes even smoother e.g.:

> library(gdalUtils)
> gdal_setInstallation(search_path=gdal.path, rescan=TRUE) 


(Optional) Download and install GRASS GIS v7:

Google Earth

Download and install Google Earth. Google Earth will be used in combination with the plotKML package.​

download_packages.R940 bytes
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