Days: Thursdays
Times: 8:30 - 11:30 am
Location: TUR 033006
NO PREREQUISITES OR INSTRUCTOR APPROVAL NEEDED FOR REGISTRATION
Course description
This course addresses spatial statistical models from both theoretical and empirical perspectives. It shows students how to assess the presence of spatial autocorrelation in their data and how to specify appropriate regression models that produce reliable results when spatial autocorrelation is present. Students learn to implement a variety of spatial models developed by econometricians and spatial analysts in geography. Spatial Lag and Spatial Error models are addressed, as are situations with complex autocorrelation patterns affecting dependent variables, independent variables, and error terms simultaneously. Also considered is the geostatistical method, Kriging, as well as approaches to modelling under conditions of non-stationarity, specifically Geographically Weighted Regression.
Robert Walker
Center for Latin American Studies
Department of Geography
313 Grinter Hall
Email: roberttwalker@ufl.edu
Tel: 352-392-0494
Research Interests
GeoSpatial Analysis & Techniques; Global Environmental and Social Change
Geographic Expertise
Amazonian region: Brazil