STAT 6350 - Spatial Statistics

Spatial statistical techniques are used to model complex phenomena in geosciences, climate and weather sciences, environmental and social sciences, economics, image analysis, etc. Statistical analyses of geostatistical data, lattice data, and point patterns will be discussed. Topics include variogram, kriging, Markov random fields, intensity functions, Boolean models, analysis of remote sensing data, hierarchical models, and space-time models. For computation WINBUGS, R, and Matlab software will be used.

Note: Open to graduate students only.

Prerequisites/Corequisites: Prerequisites: STAT 6600 and STAT 6620 with grades of "B" or better, or instructor approval.

Credits: 3 hours

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