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Crime hotspot detection is a critical aspect of urban safety and law enforcement. This research employs advanced spatial analysis techniques to predict and identify regions prone to high crime rates. Through the integration of geospatial data and predictive modelling, we present a method that enables law enforcement agencies (LEA) to proactively allocate resources and implement targeted interventions. The study demonstrates the effectiveness of this approach through a comprehensive evaluation of real-world crime data. The findings contribute valuable insights to enhance public safety strategies and reduce criminal activity in urban areas. The accuracy and precision of the proposed model is 82% and 85% respectively.

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Predictive Crime Hotspot Detection: A Spatial Analysis Approach

  • 会议论文

  • 发表日期：

    2025年

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  • Suleiman Ibrahim,
  • Paresh Jain,
  • Mukesh Bhardwaj,
  • Mukesh Kumar Gupta,
  • Mukesh Kumar Bansal

摘要

Crime hotspot detection is a critical aspect of urban safety and law enforcement. This research employs advanced spatial analysis techniques to predict and identify regions prone to high crime rates. Through the integration of geospatial data and predictive modelling, we present a method that enables law enforcement agencies (LEA) to proactively allocate resources and implement targeted interventions. The study demonstrates the effectiveness of this approach through a comprehensive evaluation of real-world crime data. The findings contribute valuable insights to enhance public safety strategies and reduce criminal activity in urban areas. The accuracy and precision of the proposed model is 82% and 85% respectively.