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Modelos matemáticos e computacionais de otimização de estratégias de redução dos níveis de violência com vítimas no Brasil: uma analogia da dinâmica não linear e caos determinístico aplicado à dengue
(2020-11)
Este trabalho tem por objetivo desenvolver um modelo matem ́atico que represente a dinâmica da atividade criminosa existente em uma população, afim de, através dele, sermos capazes de analisar potenciais intervenções, isto ...
Exploring counterfactual antecedents to reduce criminality
(2021-12-22)
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
(2021-12-22)
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 ...
CriPAV: street-level crime patterns analysis and visualization
(2015-08)
Extracting and analyzing crime patterns in big cities is a challenging spatiotemporal problem. The hardness of the problem is linked to two main factors, the sparse nature of the crime activity and its spread in large ...
Mirante: a visualization tool for analyzing urban crimes
(2020)
Visualization assisted crime analysis tools used by public security agencies are usually designed to explore large urban areas, relying on grid-based heatmaps to reveal spatial crime distribution in whole districts, regions, ...
Exploring counterfactual antecedents to reduce criminality in Rio de Janeiro
(2021-12-22)
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 ...
