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Prerequisites: GEOG 2500 and GEOG 3500Q, or instructor consent.
Grading Basis: Graded
An introduction to the fundamentals of spatial data science. Application of a high-level programming language (R) for spatial data analysis, visualization, and modeling.
Last Refreshed: 03-JUL-20 05.20.17.496914 AM
|1203 16672 1 001||Spring 2020||Storrs||In Person||Wei, Yanning||001||Reg||MoWeFr 9:05am‑9:55am