Data Analytics and Geostatistics

3 Hours

Examine fundamental probability and statistics to derive and demonstrate the fundamental deterministic and stochastic spatial modeling paradigms, including kriging, sequential Gaussian simulation, indicator methods, object-based processes, multiple point simulation and generative AI. Discuss uncertainty modeling, model diagnostics and checking, and decision making in the presence of uncertainty. Three lecture hours a week for one semester.