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Virginia Tech

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

Prerequisites: STAT-5124

Required By: N/A

Corequisites: N/A

Crosslist: N/A

Repeatability: N/A

Sections Taught: 5

Average GPA: 4.00 (rounds to A)

Strict A Rate (No A-) : 100.00%

Average Withdrawal Rate: 0.00%

Marco A Ferreira2024100.0%0.0%0.0%0.0%0.0%0.0%4.005

Grade Distribution Over Time

1234GPA
Fall 2019Fall 2020Fall 2021Fall 2022Fall 2024Term050% W