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Spatial Data Analysis Techniques in the Social Sciences

SOC 2960G S01 [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.
Term
Spring 2014
Credit Hours
1.0
Maximum Enrollment
40
Primary Instructor
Meetings
1:00 pm - 4:00 pm Tue - from Jan 22, 2014 to May 16, 2014
Exam Group Code
10 (May 12, 2014 2:00pm)