It supports basic query and geospatial analysis and visualization tasks and offers functionalities such as zooming, panning, and feature selection. It accepts the spatial component in GML format, converts that into shapefile format, and facilitates informative and automated interaction with the data-sets. We developed AutoConViz, to solve the issue stated above. The development of a tool to satisfy the spatial format conversion needs tailored to every user’s needs from scratch is difficult, time-consuming, and requires skills not easy to possess. Though among the various formats available today in spatial data science community, Geographical Markup Language (GML) adheres to its central position and is of our interest in this work. To facilitate the convenient and efficient visualization, scientists and practitioners often need to convert the spatial component of the data-set into a more usable format. In order to perform preliminary investigation, exploratory visual analysis of such data-sets is highly desirable. In recent years, large multifaceted spatial, temporal, and spatio-temporal databases have attained significant popularity and importance in the database community. An average nearest neighbor spatial statistics analysis revealed that all incidents exhibited a r. Kernel density estimation maps showed the Mamprobi district had a high density of crime even though it was the smallest district. Pin maps produced gave a graphical representation of crime locations against a backdrop of roads, existing police stations and district boundaries. A summary of the attribute table showed that Assault, Causing Damage and Unlawful Entry had the highest counts of 22 each while Rape and Stealing had the least counts of 12 each. Spatial data of 142 crime incidents namely Assault, Causing Damage, Defilement, Fraud, Rape, Robbery, Stealing and Unlawful Entry was analyzed using ArcGis®v10 software. It was done on a pilot basis and is intended to enable senior officers have a visual framework for prescribing action.
This work used Geographic Information Systems to create crime maps and analyze crime distribution within the Dansoman Police Subdivision in Accra, Ghana.
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