Software

This class assumes that you are familiar with the R language. If you are not, please download and read the manual An introduction to R (pdf format) which contains a very good introduction to the software.

R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, C, C++ and Fortran code can be linked and called at run time.

You can download R from http://lib.stat.cmu.edu/R/CRAN/ where you will find the source code, which can be easily compiled on most UNIX systems, as well as binaries for Alpha Unix, Linux, MAC and Windows.

A list of publications related to R is available from the R project web page. The list of books has now reached 117 entries. There is even an online journal. Probably the best known general purpose book is

• William N. Venables and Brian D. Ripley. Modern Applied Statistics with S-Plus. Fourth Edition. Springer, 2002. ISBN 0-387-95457-0.

There are a number of R packages that are relevant for the material in this course. For a discussion see CRAN Task View: Analysis of Spatial Data. Some of them are geoR; fields and spBayes.

A good resource for learning to make maps in R is the course by Eric Anderson https://eriqande.github.io/rep-res-web/lectures/making-maps-with-R.html