CrimAnalyzer: Understanding Crime Patterns in São Paulo

Area of Science:

• Urban Criminology
• Geographic Information Systems (GIS)
• Data Visualization

Background:

• Crime rates in São Paulo, South America's largest city, vary significantly by location.
• Existing crime analysis tools offer global perspectives, lacking focus on specific urban areas.
• Understanding localized crime patterns requires tools that consider urban features and social dynamics.

Purpose of the Study:

• To introduce CrimAnalyzer, a visual analytic tool for localized crime pattern analysis.
• To enable domain experts to investigate crime in specific city regions using a bottom-up approach.
• To reveal the influence of urban characteristics on crime quantity and type.

Main Methods:

• Development of a visual analytic system, CrimAnalyzer.
• Incorporation of features for flexible exploration of local regions.
• Implementation of algorithms for identifying spatial crime hotspots and their temporal dynamics.

Main Results:

• CrimAnalyzer effectively identifies local crime hotspots, even those not defined by sheer volume.
• The tool visualizes the dynamic changes in crime patterns over time within specific areas.
• Case studies with domain experts validated the system's capability in uncovering crime-related phenomena.

Conclusions:

• CrimAnalyzer addresses the need for localized crime analysis tools.
• The system empowers experts to understand the interplay between urban features and crime.
• This visual analytic approach enhances the investigation of crime patterns in urban environments.