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STA 5377: Spatial Statistics

Spring 2027 · 3 credit hours · 1 section · 10 open seats as of Oct 30, 2026, 4:05 AM Central

Prerequisite(s): STA 5353; or consent of instructor. Exploratory spatial data analysis using both graphical and quantitative descriptions of spatial data including the empirical variogram. Topics include several theoretical isotropic and anisotropic variogram models and various methods for fitting variogram models such as maximum likelihood, restricted maximum likelihood, and weighted least squares. Techniques for prediction of spatial processes will include simple, ordinary, universal and Bayesian kriging. Spatial sampling procedures, lattice data, and spatial point processes will also be considered. Existing software and case studies involving data from the environment, geological and social sciences will be discussed.

Professors teaching STA 5377 in Spring 2027

Joon Song. See their BUBooks scores and reported grades in the builder.

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