DR M. KARTHIK , DR. M. VIJAYAKUMAR , MRS.N. RAJASANKARI , DR. N. SANTHALAKSHMI , DR. K.R. ANANTH , MR K N SIVAKUMAR
DOI: https://doi.org/This investigates the use study of Voronoi diagrams as a geospatial modelling technique for predicting crime hotspots. By segmenting urban areas into Voronoi cells based on incident locations, the model allows for a detailed spatial analysis of crime patterns. These cells help visualize zones of influence around each crime occurrence, enabling the identification of areas with high crime density.The research integrates geographic and socioeconomic variables—such as population density, income levels, proximity to public transport, and urban infrastructure—into the Voronoi framework. This integration helps uncover the spatial factors contributing to criminal activity and provides a multidimensional understanding of crime distribution. Each Voronoi region becomes a unit of analysis, allowing comparisons across different neighbourhoods and highlighting correlations between spatial conditions and crime rates.Using historical crime data mapped onto these Voronoi tessellations, the study reveals how spatial proximity and environmental characteristics influence the emergence of hotspots. The approach also supports dynamic updating, allowing law enforcement agencies to adapt predictive models as new crime data becomes available.The findings suggest that Voronoi-based models offer a powerful tool for urban crime analysis, providing actionable insights for law enforcement and policymakers. By identifying high-risk zones and their contributing factors, authorities can tailor crime prevention strategies, such as optimizing patrol routes, improving lighting in vulnerable areas, or enhancing community engagement in specific zones.In conclusion, this study demonstrates that Voronoi diagrams, when combined with spatial and socioeconomic data, offer a valuable framework for understanding and predicting crime hotspots. This model not only advances academic research in spatial criminology but also supports practical decision-making for safer urban environments.
