Basics of Spatial Analysis using GeoDa
An ISSR Short Course by Henry Renski
Date: Tuesday, March 26, 2013
Time: 1:00-3:00 pm
Location: ISSR Training Lab W37E Machmer Hall (3rd Floor, West Wing)
Click here to register for this workshop
Description:
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
own laptops.
Course Objectives:
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.