This lecture covers regression where each observation is associated with a polygon. Two easy models to try out in R are the spatial lag model and the spatial error model.

Lecture: GSS.ppt

Lab: GSS.doc

Data: nc.RData

Code: gss.R

CRAN Task View on other spatial analysis methods/topics (lists package that support different types of models).