Spatial regression analysis is a collection of statistical methods specifically designed to address problems of spatial dependence in cross-sectional and panel data. They are often used to analyze the relationship of human action and the physical environment. Descriptive spatial statistics, spatial weights, and spatial autocorrelation, as well as theoretical approaches to the use of spatial data are explored. Spatial Statistics will be used to analyze the influence of space on crime and justice.