GEOG788P

Cross-listed with GEOG498G. Credit only granted for GEOG498G or GEOG788P. Introduces a spatial data science (SDS) framework for uncovering spat patterns and understanding spatial processes, whether they are generated by humans, the physical environment, or a combination thereof. This course first covers some basic principles of popular computational tools for SDS and then surveys a variety of geographic conceptual models and quantitative methods from the traditions of spatial analysis and spatial statistics. A strong emphasis is placed on the practical deployment of these models and methods and their interpretation. Students will develop expertise in common design decisions, analytical intuition, and limitations of SDS through real world examples and applied projects, as well as build their repertoire of Python programming skills for obtaining, processing, and analyzing spatial data.