Stochastic Modeling of Spatial Variability in Energy and Environmental Systems

Catalog description

This course covers the theory, methods, and implementation of modeling spatial variability and uncertainty with special consideration of the structure of energy, natural resource, and environmental system models. The course draws heavily upon geostatistical methods, and covers random functions, Semivariograms, Kriging, spatial simulation, and data assimilation into spatial simulation models.