GEOGENV 4211A
0.50 credit · Main
This course covers advanced concepts and methods for analyzing spatial data using GIScience and computational techniques to identify patterns, relationships, and processes across space. Topics include global and local spatial data analysis, point pattern analysis, spatial regression, and AI for geospatial data analysis. Labs build skills for solving real-world problems.
Registration in third or fourth year, Geography and Environment 2220A/B and one of Geography and Environment 2210A/B, Biology 2244A/B or Statistical Sciences 2244A/B, or other equivalent, or permission of the instructor.
The former Geography 3211A/B.
2 lecture hours, 2 laboratory hours. Limited enrollment.
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