STAT-5544: Spatial Statistics
Description: Spatial data structures: geostatistical data, lattices and point patterns. Stationary and isotropic random fields. Autocorrelated data structures. Semivariogram estimation and spatial prediction for geostatistical data. Mapped and sampled point patterns. Regular, completely random and clustered point processes. Spatial regression and neighborhood analyses for data on lattices.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 11
Average GPA: 3.98 (A)
Strict A Rate (No A-) : 96.88%
Average Withdrawal Rate: 0.00%
| Marco A Ferreira | 2022 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 4.00 | 8 |
| Feng Guo | 2013 | 95.1% | 4.9% | 0.0% | 0.0% | 0.0% | 0.0% | 3.92 | 3 |