This assignment focuses on analyzing crime rates in various wards of London using spatial econometric techniques. The data includes crime statistics and socioeconomic variables such as population, unemployment, and foreign-born residents. Using GeoDa software, students will explore spatial distributions, test for spatial autocorrelation, and estimate regression models to interpret the relationship between crime and socioeconomic factors. The task also involves choosing the best-fitting spatial model, either SLM or SEM, based on diagnostic tests. The goal is to develop an understanding of crime patterns through spatial analysis and regression modeling.