Spatial Statistics Credit Hours: 3 hours Models and theories in spatial data, including geostatistics, lattice data, spatial point patterns, and space-time data. The course will focus on random field theory, various spatial regression models, model fitting, inferences and spatial prediction, with applications to agriculture, environmental sciences, forestry, and public health. Offered spring semester every odd-numbered year. Prerequisites: STAT 4520/6520 and STAT 8260 Level: Graduate
