R Spatial Tips
R is becoming an invaluable tool for spatial data. Here are some useful tips and worksheets for handling spatial data in R. I aim to keep adding to the list and I welcome suggestions and contributions to add to this popular resource.
If you don’t know what R is, or need to install it. Please click here to visit the R CRAN website.
Intro to Handling Spatial Data with R.
Starting Analysis and Visualisation of Spatial Data with R.
Creating a map with R using ggplot2.
R Interface to Google Charts (Gapminder Style).
R Interface to Google Charts (Mapping).
Exporting KML from R to create maps in Google Earth.
Clipping/ extracting a surface to within a polygon. Includes dissolving polygons.
Writing a spatial function: The Location Quotient.
Mapping Twitter Followers with R (external site).
Relevant Book Reviews:
- Applied Spatial Data Analysis with R.
-Lattice: Multivariate Data Visualization with R.
