— Spatial Methods in Community Research

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Spatial analysis of social data relevant to community research, with focus on neighborhoods as units of analysis. Clustering, segregation, geodemographic modelling, spatial regression, mulitlevel models, spatial data management, accessibility. Learning Activities: Lecture 4 hour(s). Grade Mode: Letter. CRD 230 — Spatial Methods in Community Research (4 units) Course Description: Spatial analysis of social data relevant to community research, with focus on neighborhoods as units of analysis. Clustering, segregation, geodemographic modelling, spatial regression, mulitlevel models, spatial data management, accessibility. Prerequisite(s): Graduate standing. Learning Activities: Lecture 4 hour(s). Enrollment Restriction(s): Open to graduate students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture 4 hour(s). Grade Mode: Letter. CRD 230 — Spatial Methods in Community Research (4 units) Course Description: Spatial analysis of social data relevant to community research, with focus on neighborhoods as units of analysis. Clustering, segregation, geodemographic modelling, spatial regression, mulitlevel models, spatial data management, accessibility. Prerequisite(s): Graduate standing. Learning Activities: Lecture 4 hour(s). Enrollment Restriction(s): Open to graduate students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027.