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Exploring counterfactual antecedents to reduce criminality
This research project developed a series of methodologies to help identifying urban, socioeconomic and space-temporal factors that lead to crime. Our research had four main pillars: (1) Hotspot analysis was used to investigate ...
Exploring spatial data on crime analysis
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 ...
Exploring counterfactual antecedents to reduce criminality in Rio de Janeiro
This research aimed to analyze the impact that socioeconomic and urban vari- ables have on crime rates for Rio de Janeiro. To achieve that, we structured a dataset containing, for each neighborhood, the per capita crime ...