Forecasting Violent Crime Hotspots Using a Theory-Driven Algorithm

Adesola, Falade and Azeta, A. A. and Oni, Aderonke A and Chidozie, Felix (2019) Forecasting Violent Crime Hotspots Using a Theory-Driven Algorithm. International Journal of Engineering Research and Technology, 12 (12). pp. 3127-3132. ISSN 0974-3154

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Abstract

Crime hotspot forecasting is an important part of crime prevention and lessens the delay between a Police call and the physical intervention. Recent researches and developments in this area focus on enriching the historical data and sophisticated point process analysis methods with a fixed grid. In this article, a simple spatio-temporal point process which allows one to perform exhaustive (literal) grid searches is presented. It further show that this approach can compete with other complex methods in literature, as evidenced by the results on data collected by the statistics department of Nigerian Police. Finally, this study discusses the advantages and potential implications of this new method.

Item Type:	Article
Uncontrolled Keywords:	Predictive Accuracy Index (PAI), Prediction Efficiency Index (PEI), Area Under the Curve (AUC), Receiver Operating Characteristics (ROC) curve. National Institute of Journalism (NIJ).
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA76 Computer software
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Patricia Nwokealisi
Date Deposited:	10 Jul 2024 10:21
Last Modified:	10 Jul 2024 10:21
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/18181

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