GEOG788L

Selected Topics in Geography; Spatial Data Mining

Concepts and techniques in spatial and spatio-temporal data mining from a computational perspective will be introduced. Topics include types of spatial and spatiotemporal data; foundations of spatial statistics; spatial pattern families (spatial clustering & hotspot detection, colocation, cascading, outlier detection, spatial prediction and classification); advanced topics including deep learning, adversarial learning, reinforcement learning and spatial big data platforms. Application domains of the techniques include smart cities, transportation, public health, public safety, agriculture, etc.

Sister Courses: GEOG788A, GEOG788B, GEOG788D, GEOG788F, GEOG788I, GEOG788J, GEOG788N, GEOG788P, GEOG788Q, GEOG788T, GEOG788W, GEOG788Z

Fall 2024

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Past Semesters

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* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.