Exploring Spatial Statistics for Cluster and Outlier Analysis in Crime Patterns: A Geospatial Study of Coastal Zones in Kollam and Thiruvananthapuram | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Exploring Spatial Statistics for Cluster and Outlier Analysis in Crime Patterns: A Geospatial Study of Coastal Zones in Kollam and Thiruvananthapuram Vineesh V This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4202198/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study investigates crime patterns within the coastal zones of Kollam and Thiruvananthapuram districts in Kerala, India. Utilizing crime data from over 60 police stations for the year 2020, the research employs advanced spatial statistical techniques to conduct a rigorous analysis. A comprehensive geospatial approach is adopted to identify spatial clusters and outliers of criminal activity, offering valuable insights into the spatial dynamics of crime in these regions. The findings contribute to a deeper understanding of the geographical distribution of crime, providing a scientific foundation for informed decision-making in both law enforcement and urban planning initiatives. Geographic Information Systems Spatial analysis Crime clusters Hotspots Geospatial information systems (GIS) Crime prevention Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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