STAT 226: Spatial Statistics
University of California, Santa Cruz
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.)
Average GPA: 3.70
Grade distribution records: 14 students across 1 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A- | 1 | 7.1% |
| S | 12 | 85.7% |
| U | 1 | 7.1% |
Based on 14 student grade records across 1 term and 1 professor.
Instructors
- Bruno Sanso 14 students, Average GPA 3.70