Prerequisite: STAT 652, STAT 656, and working knowledge of R and SAS
Course Description: Presents analysis techniques for spatially-indexed or spatially-correlated data that arise in many areas of science, including medicine, transportation, and atmospheric sciences. Focus is on data analysis rather than theory, though theory will necessarily be covered. Topics include analysis of point patterns, trend and surface estimation, and spatial regression.
When Offered: Alternate Fall