SOC 2960G - Spatial Data Analysis Techniques in the Social Sciences

Institution:
Brown University
Subject:
Description:
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. Pre-requisites: Soc. 2010 and 2020, or equivalents.
Credits:
1.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(401) 863-1000
Regional Accreditation:
New England Association of Schools and Colleges
Calendar System:
Semester

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