Spatial and Spatial-Temporal Data Analysis

Catalog description

The course covers the analysis of spatial and/or spatial-temporal data, defined as data that include references to spatial locations or regions. Topics may include spatial interpolation, regression with spatial data, Gaussian process models, construction of covariance functions, computational techniques for large datasets, hierarchical non-Gaussian models, analysis of point patterns, forecasting, and Bayesian methods.