GES 779 - Spatial Regression and Advanced Statistics

Credits: [3]

Description: Regression techniques are used in every social and physical science discipline, to which these disciplines often attempt to measure spatial relationships with geographic data. As such, this course introduces the regression framework in the statistical analysis of data to accounts for geography and measures spatial relationships. The course first presents the basics of regression, followed by the coverage of three regression techniques used in geographical analysis. The regression techniques covered are (i) spatial lag and error, (ii) geographically weighted, and (iii) multi-level (hierarchical) regression. The theoretical, conceptual, and practical foundations for each of these techniques are presented, providing students with the knowledge and skills necessary to conduct robust analyses. The concepts of spatial dependence and spatial heterogeneity are specifically covered in how they underpin the measurement of spatial effects in the regression framework. The course material is presented from a methodological approach that incorporates and extends the material covered in GES 679: Statistics for Geographers. Students are introduced to the GeoDa and R Studio programs to conduct their analyses.
Course ID: 103034
Components: Lecture
Grading Method: A-F