R: A software environment for statistical computing and graphics

The practical classes at the workshop will be based on the free software environment R (http://www.r-project.org/). This software is designed for the statistical analysis and the visualisation of data sets and is available for Unix/Linux, Windows, and MAC operating systems. R is widely used in numerous disciplines that require enhanced statistical analysis of data sets, including climatology and includes high-end graphical features to display and combine geographical data sets, e.g., from satellite.

During the workshop we will introduce the use of the CM SAF data within R. This will include the statistical analysis and the visualization of CM SAF data.
Experience with R is not required for the workshop, but would be beneficial.

Here are some useful webpages regarding R:
http://cran.r-project.org/manuals.html
http://cran.r-project.org/faqs.html
http://cran.r-project.org/doc/contrib/Short-refcard.pdf

For the installation of R, please follow the instruction on the R-homepage.

A good Interface for R is the RStudio. RStudio is recommended for beginners because it combines a graphical user interface, script editing and useful information on R.

Here is a link to a blog post from Oscar Perpiñán Lamigueiro about the use of R to estimate solar energy potential using CM SAF data:
http://procomun.wordpress.com/2011/06/17/raster-cmsaf-and-solar/


Jörg Trentmann / Steffen Kothe, DWD
29 April 2011
15 July 2011

09 February 2017

Last modified: Friday, 17 February 2017, 8:54 AM