GEO 512 Spatial Modeling for Data-driven Decision Making

Utilize spatial analytics, statistical techniques, and machine learning to drive decisions and unlock hidden insights in location data that deliver operational efficiency, sustainability, and policymaking. Prerequisites: GEO 303 and one of: STA 382QR, STA 282QR, BIO 500; or GEO 501 and Geospatial Analytics minor; or GEO 501 and graduate standing.