STAT 226

Spatial Statistics

5credits
About this course

Introduction to the analysis of spatial data: theory of correlation structures and variograms; kriging and Gaussian processes; Markov random fields; fitting models to data; computational techniques; frequentist and Bayesian approaches. (Formerly AMS 245.)

All available terms

1 term

Avg. GPA
3.70
Grades
14

Other grades

S85.7%U7.1%
More course details

University of California, Santa Cruz

STAT 226 at UCSC: average GPA 3.70 across 14 students. Grade distribution by term. Introduction to the analysis of spatial data: theory of correlation…

Average GPA: 3.70

Grade distribution records: 14 students across 1 terms.

Grade distribution

GradeStudentsPercent
A-17.1%
S1285.7%
U17.1%

Based on 14 student grade records across 1 term and 1 professor.

Instructors

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