STAT 141 Spatial Statistics
Spatial data – which is prevalent in climatology, meteorology, geology, oceanography, ecology and many other fields – requires specialized statistical tools for analysis due to the inherent dependence which exists between samples taken at nearby locations (or times). In this introductory course in spatial statistics, we'll cover central topics including spatial point processes, lattice models, and geostatistics. Theory (mathematical models and background) will be presented in concert with inference and prediction (statistics and estimation) with an emphasis on numerical examples to provide intuition and identify commonly used tools for EDA including visualization and important summary statistics. Students should take this course if they are interested in learning more about tools to handle the complex datasets where each datum depends in some part upon all others.
Instructor: Alex Young