The main objective is to develop theoretical and practical skills related to the concepts and applications of spatial statistics. It aims to explore, visualize, and use Geo-statistical theory to predict at unsampled location using ArcGIS’s Geo-statistical Analyst tool. Topics covered include Geostatistical data: Random Fields; Variograms; Covariances; Stationarity; Non-stationarity; Kriging; Simulations. Lattice data: Spatial regression; SAR, CAR, QAR, MA models; Geary/Moran indices. Point patterns: Point processes; K- function; complete spatial randomness; Homogeneous/inhomogeneous processes; Marked point processes.
Key Words: Spatial statistics, Geostatistics, Lattice data, Area data, GIS
