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Akor Daniel Enechojo

An enthusiastic geo-spatial data analyst, thrilled about leveraging my background in geography with my technical geospatial skills of Remote Sensing (RS) and the application of geographic information system (GIS) to solve pressing environmental challenge. My professional experiences include collecting and entering of data into GIS database, creating maps and performing geospatial data analysis.


Session

12-02
09:30
30min
Mapping Analysis of Crime Incidence in Ngurore community using GIS approach
Akor Daniel Enechojo

ABSTRACT
The rate of unemployment and the lack of job in the society has triggered an increase of crime in Nigeria. Crime cases and criminal acts like Kidnapping, home-breaking, theft, robbery, murder and rape cases are prohibited by law but still exists around the world. Nigeria is one major country with has recorded an increase in the rate of crime. This research study deals with crime mapping and analysis of Ngurore village using geospatial approach. The study is aim at mapping and analyzing crime so as to identify the spatial distribution of crime incidence and the pattern of crime occurrence in Ngurore village. Information from questionnaire administered formed the secondary data, software and instrument used were QGIS 3.8 and smartphone GPS aid to capture the coordinate of crime location, GIS database was design to query, analysis and visualized maps, OpenStreetMap (OSM) data, Google earth imagery data was used as based Map during ground truthing, existing road network were used for analysis showing the shortest paths to crime location, hotspots analysis shows rate crimes occurrence overtime. Proximity analysis of crimes to police station and community police post. This study will give insights and in-depth understanding to police and other relevant security agencies with view of planning, strategizing, deploying security operative in tackling and reducing crime rate in Ngurore village and environs.

Key Word: Crime rate, Geospatial, Mapping, Hotspot, Crime Analysis

Cartography: Data Visualization
Auditorium