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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5.00
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