Mapping the Spatial Distribution and Hotspots of Child Abuse using Kernel Density Estimation

Child abuse remains a critical issue that affects the physical, emotional, and psychological well-being of children, with alarming numbers of cases reported in West Bengal. Despite the presence of legal frameworks and child protection systems, the effectiveness of these measures is often undermined by the lack of geographically targeted data. Existing studies have largely explored societal and individual factors, yet the spatial dynamics of child abuse incidents remain under-researched. Addressing this gap is vital for designing region-specific prevention strategies and data-driven policy measures. This study employs Kernel Density Estimation (KDE) to analyze the spatial distribution of child abuse cases in West Bengal, using geospatial tools to identify high-risk areas and understand spatial patterns. The purpose of the research is to provide actionable information on regional disparities and the underlying factors that influence the prevalence of child abuse. By highlighting vulnerable areas, this study seeks to empower policymakers, law enforcement, and child welfare organizations to allocate resources more effectively and develop targeted intervention programs. The findings are expected to bridge the gap between analytical research and practical solutions, contributing to a safer and more supportive environment for children across the state. This geospatial approach offers a crucial step towards combating child abuse through localized and evidence-based initiatives.