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3512. Introduction to Spatial Data Science

3.00 credits

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 AM
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Term Campus Instruction Mode Instructor Section Session Schedule Location Enrollment Notes
Spring 2020 Storrs In Person Wei, Yanning 001 Reg MoWeFr 9:05am‑9:55am
AUST 439 10/20