Basics of Spatial Analysis using GeoDa
An ISSR Short Course by Henry Renski
GeoDa is a popular freeware platform for spatial statistical analysis. It is very user
friendly, especially to those familiar with working with spatial data in a Geographic
Information Systems (GIS) environment such as ArcGIS. While it does not have the full
functionality of a desktop GIS platform for manipulating and processing spatial data, it
exceeds other GIS-based interfaces in its capabilities for conducting inferential statistical
analysis on spatial data. Among its most common uses are estimating multivariate models
where spatial autocorrelation is a concern.
This workshop provides an introduction to common GeoDa functions from spatial data
visualization to spatial regression. I will be providing example shapefiles to use for in-
class exercises, but feel free to bring your own. Participants are encouraged to bring their
By the end of this session, participants will be able to import shapefiles into GeoDa, visualize spatial patterns in the data, construct a spatial weights matrix, run tests for spatial autocorrelation, and run a simple spatial lag and error regression models.