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CrimAnalyzer: Understanding Crime Patterns in São Paulo.

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    CrimAnalyzer is a new visual analytic tool for studying crime patterns in specific city regions. It helps experts identify local crime hotspots and understand how urban features influence criminal activity over time.

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    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.