Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Thomas, Jisty; Mohan, Karthik Title A name given to the resource Utilizing GIS for Crime Mapping to Identify Crime Hotspots in the Urban Context of Kerala Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Advances in 21st Century Human Settlements;Volume;Part F1167;pp.195-215 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-8789-3_10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-8789-3_10</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022711748?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022711748?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Thomas J., School of Architecture, Christ University, Karnataka, Bengaluru, India; Mohan K., Department of Architecture and Planning, College of Engineering Trivandrum, Kerala, Thiruvananthapuram, India Description An account of the resource This study employs Geographic Information Systems (GIS) for crime mapping to pinpoint hotspots within the Museum police stations jurisdiction in Trivandrum, Kerala, which saw the highest number of crimes reported in 2022, as per the National Crime Records Bureau (NCRB), making it an important issue to be tackled. Trivandrum was chosen for its high population density, aligning with criminological theories linking dense urban areas to increased criminal activity. The jurisdiction of the Museum police station area was explicitly selected due to its significant incidence of various crimes as per the data available from the Kerala police website while comparing it with the overall 21 jurisdiction boundaries. Data collection encompassing seven crime categories as per the analysis of previous literature studies, which includesrape, theft, molestation, kidnapping, murder, hurt, auto theft, and robberywas meticulously gathered from the Museum police station and organized using Excel, then analysed through GIS techniques. These methods included Average Nearest Neighbours Analysis to identify crime pattern types, Kernel Density Estimation to visualize crime density maps, Choropleth mapping to highlight wards with heightened crime rates, and Standard Deviation Ellipse Analysis to explore trends in crime distribution. These analytical approaches and their comparison with buffered maps facilitated a comprehensive spatial examination, uncovering distinct crime hotspots and illuminating factors contributing to their concentration. The study concludes by pointing out the main vulnerable areas of the study with the help of the previously mentioned mapping analysis, helping in providing suitable areas to be focused on to provide design strategies to curb crime. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. Subject The topic of the resource Crime mapping; GIS; Hotspots; Population density; Spatialanalysis Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 21982546; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online