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Analysis Study Research Paper | Criminology and Forensic Science | India | Volume 14 Issue 3, March 2025 | Popularity: 5.7 / 10
A Study of Correlating Factors for Various Crimes in Delhi through Remote Sensing and GIS
Rajani Kant Awasthi
Abstract: A crime is an illegal act that can be punished by a state or authority. The word "crime" comes from a Latin root meaning "I decide" or "give judgment?. Crime can involve violence, sex or drugs but also discrimination, road rage, undeclared work and burglary. Crime is any behaviour and any act, activity or event that is punishable by law. The objective of this study is to provide the meaningful insights using Remote Sensing Technology and GIS. There are always some favourable factors which help successful execution of crimes. Nighttime imagery in remote sensing, particularly from satellites, can be used to analyse crime patterns in India by providing insights into areas with higher human activity at night, which can be correlated with potential crime hotspots, allowing law enforcement to focus patrols and preventative measures in those locations; essentially, areas with brighter nighttime lights on satellite imagery may indicate higher crime risk due to increased population movement after dark. The in - situ data for the period 2011 - 2021 from official website of Delhi Crime Records have been analysed. The data were mapped on Google Earth Engine and Google Earth Pro after preparing FeatureCollection. A graphical representation was also made on GEE to understand the pattern of crimes. The correlation of Average DNB radiance values, population density, percent tree cover, building volume, non - residential building volume, NDVI and population age has been established with each type of crime. Further, a joint correlation of crimes with said properties divulged a very clear picture about the crimes, area of crimes, hot spots etc.
Keywords: Remote Sensing, GIS, Nighttime, percent tree cover, Correlation, Geospatial mapping
Edition: Volume 14 Issue 3, March 2025
Pages: 1047 - 1063
DOI: https://www.doi.org/10.21275/MR25320222136
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