Spatial analysis refers to the set of analytical approaches and techniques concerned with the study of geographical elements and entities, and their geometric, geographical and topological properties. Some of the issues in spatial analysis involve spatial characterization of entities, spatial dependency and spatial auto-correlation problem, scaling, spatial sampling, etc. The principal types of spatial analysis are spatial data analysis, spatial autocorrelation, spatial interpolation, spatial regression, and simulation and modeling, among many others. The analysis of geospatial data involves statistical analyses using software, geographic information systems (GIS) and geomatics. It has applications in diverse areas like ecology, geology, epidemiology, defense, disaster risk reduction and management, etc. This book provides comprehensive insights into the field of spatial analysis. Most of the topics introduced herein cover new techniques, practices and applications of spatial analysis. Those with an interest in this field would find this textbook helpful.