Crime Mapping and Forecasting Using Geospatial Techniques: A Case of Ajmer

Abstract

Abstract: Advances in computer technology, the development of GIS application software, and the ability to access various geographic data through open-source data sources have allowed police and law enforcement agencies to use it effectively. Crime mapping and spatial analysis using GIS tools such as hotspot generation, zoning, crime navigation and profiling, mobile location recognition, and various web applications are clearly recognized and can be scientifically applied to improve citizenship while being effectively used to predict and control crime. The present study analyzed the trends and patterns of crime data (murder, rape, robbery, theft, kidnapping, engraving, and gambling) in Ajmer Zone from 2015–2022 (till October) to understand the trends of crime data (IPC crime registered). I also used the demographic data of Ajmer to understand crime trends towards various crime types The study focused on the most common crimes reported, which were theft and gambling, as opposed to murder, rape, kidnapping, and robbery. All crimes were reported in 1,009 incidents in 2015. In 2016, 1,064 cases were recorded. In 2017, 1081 cases were reported. In 2018, 1034 cases were reported. In 2019, 1415 cases were reported. In 2020, 829 cases were reported. In 2011, 1120 cases were reported. In 2022, 1268 cases were reported. The highest number of cases occurred in 2017, 2019, and 2022, and the lowest number of cases occurred in 2015 and 2016. According to the crime study for 2015–2022 (till October), I found that many areas where crime is increasing or that are crime hotspots are found every year.