Spatial analysis involves a range of analytical methods and techniques focused on the study of geographic elements and their geometric, topological, and spatial properties. It deals with various key issues such as spatial characterization of entities, spatial dependency, spatial autocorrelation, scaling, and spatial sampling. The primary types of spatial analysis include spatial data analysis, spatial autocorrelation, spatial interpolation, spatial regression, and simulation and modeling, among various other approaches. The analysis of geospatial data typically involves statistical methods, geographic information systems (GIS), and geomatics software. Spatial analysis has broad applications across fields such as ecology, geology, epidemiology, defense, and disaster risk management. This book unfolds the innovative aspects of spatial analysis which will be crucial for the holistic understanding of the subject matter. It outlines the processes and applications of the field in detail. Coherent flow of topics, student-friendly language and extensive use of examples make this book an invaluable source of knowledge.