Spatial Data Analysis and Modeling with R

This website provides materials to learn about spatial data analysis and modeling with R. R is a widely used programming language and software environment that for data analysis and graphics. R also has advanced capabilities for dealing with spatial, and spatio-temporal, data; and it provides unparalleled opportunities for analyzing such data.


1. Introduction to R

Start here if you have never used R, or if you need a refresher.

2. Spatial data manipulation with R

Read this to learn about the basics if reading, writing, and manipulating spatial data.

3. Spatial data analysis

A introduction to methods for description, prediction and inference with spatial data.

4. Case studies

A (small) collection of case studies that can help you learn more about particular topics and design your own workflows.

Special topics

I. Spherical computation

Computing distances and other measures on a sphere or spheroid.

II. Species Distribution Modeling with R

A in-depth tutorial for predicting the geographic ranges of species.

III. Spatial simulation

Spatial simulation models with R.