This course will provide students the skills to undertake more sophisticated spatial (statistical) analysis. GeoComputation is in part the continuing development and application of analytical statistics that can be applied to clustering, search and measures of association over space and through time (geocomputation.org). The course will arm students with the ability to undertake spatial analysis techniques such location quotient analysis, shift-share analysis, spatial lag, spatial error, economic cluster analysis, geographically weighted regression. The course will be rooted in several geographic information systems packages including QGIS, ArcGIS, the AURIN portal, PySal from Arizona State University, and GeoDa software from the Center for Spatial Data Science at the University of Chicago.