This book explores the concepts of data mining that are extended to spatial data. Spatial data mining is the process to discover interesting and previous unknown, but potentially useful patterns from spatial datasets. Tasks of spatial data mining such as spatial clustering, spatial classification and spatial association are discussed. Three reference models such as reference feature centric model, Window centric model, Event centric model are studied. An integrated approach combining feature centric model and Event centric model is discussed. Mediod based technique and Delaunay triangulation methods are explored to discover colocation patterns.