Exploring spatial data on crime analysis

Abstract

This research project aims to analyse the spatial relation between the distribution of crime and the presence of amenities in the city of São Paulo. To that aim, we employ a spatial-aware regression model, Geographically Weighted Regression (GWR). This model takes into account the spatial distribution of the input data, and describes the manner in which the importance of features for the prediction of a variable varies in space.