STATISTICAL METHODS FOR SPATIAL DATA

STAT 575

Course Description

Detecting, quantifying, and modeling spatial patterns and structure in data. Variograms and covariance functions, linear predictions with uncertainty qualification, and conditional simulations. Spectral domain models and spectral densities. Spatial point processes. Contemporary applications and Gaussian process model fitting at scale.

Prerequisties

(STAT 333 or STAT 340 ) and (MATH 320 , MATH 340 , MATH 341 , or MATH 375 ), graduate/professional standing, or declared in Statistics VISP

Satisfies

This course does not satisfy any prerequisites.

Credits

Offered

Fall

Grade Point Average

3.31

-0.08% from Historical

Completion Rate

96.3%

-2.38% from Historical

A Rate

51.85%

3.7% from Historical

Class Size

9.46% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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