Geospatial Analysis of Crime Cases in Apete Community, Ido Local Government Area, Oyo State, Nigeria

Abstract

This study utilizes Geographical Information System in mapping crime case within Apete community, Ibadan in Ido Local Government Area, Oyo State, Nigeria with the aim of depicting the crime hotspots on maps using GIS approach. The methodology involved acquisition of spatial location of crime areas using handheld GPS and crime data of different crime cases between 2022 and 2023. 171 and 281 crime cases were committed and officially reported in the year 2022 and 2023 and the data were collected from the Oyo State Police Headquarters Iyaganku Ibadan. Statistical analysis was done using Average nearest neighbor (ANN), Kernel and Point densities using density statistical tools from ArcGIS 10.8 to reveal the intensity of crime within the study area. The result from the study showed that internet fraud with 244 cases have the highest crime cases followed by stealing with 169 cases and cybercrime with 111 cases between 2022 and 2023 and is based on crime committed and number of arrest made. The result from the analysis average nearest neighbor revealed dispersed pattern with 1.51 (p<0.01) and z-score 6.90 (p<0.000). However, the result from kernel density estimation revealed area of crime hotspots with high to low intensity crime rate that will help the local security and other law enforcement agent to assist the community and the inhabitants in order to minimize the occurrence of different crime cases in the study area. The result of correlation analysis revealed significant relationship between number of crime committed and time crime committed, number of arrest with time crime committed, time crime reported and number per crime committed. It can be concluded that, there is need for more Police station and more law enforcement agent, local security guide to minimize the occurrence of crime in the study area.

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