Spatial Data Analysis Techniques in the Social Sciences

2960G [CRN: 23896]

Survey course of statistical methods that can be used to analyze spatial and/or clustered data at the individual and aggregate levels. Topics include multilevel analysis; fixed effects approaches; spatial choice; spatial autocorrelation, heterogeneity and dependence. Application with real data. Not a course about Geographic Information Systems (GIS) or mapping techniques. Prerequisites: SOC 2010 and 2020, or equivalents.
Exam Group Code
10