Application of a clustering-remote sensing method in analyzing security patterns

Alejandra López-Caloca; Elvia Martínez-Viveros; José Ignacio Chapela-Castañares

doi:10.1117/12.818911

13 April 2009 Application of a clustering-remote sensing method in analyzing security patterns

Alejandra López-Caloca, Elvia Martínez-Viveros, José Ignacio Chapela-Castañares

Proceedings Volume 7344, Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009; 734407 (2009) https://doi.org/10.1117/12.818911
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

In Mexican academic and government circles, research on criminal spatial behavior has been neglected. Only recently has there been an interest in criminal data geo-reference. However, more sophisticated spatial analyses models are needed to disclose spatial patterns of crime and pinpoint their changes overtime. The main use of these models lies in supporting policy making and strategic intelligence. In this paper we present a model for finding patterns associated with crime. It is based on a fuzzy logic algorithm which finds the best fit within cluster numbers and shapes of groupings. We describe the methodology for building the model and its validation. The model was applied to annual data for types of felonies from 2005 to 2006 in the Mexican city of Hermosillo. The results are visualized as a standard deviational ellipse computed for the points identified to be a "cluster". These areas indicate a high to low demand for public security, and they were cross-related to urban structure analyzed by SPOT images and statistical data such as population, poverty levels, urbanization, and available services. The fusion of the model results with other geospatial data allows detecting obstacles and opportunities for crime commission in specific high risk zones and guide police activities and criminal investigations.

Citation Download Citation

Alejandra López-Caloca, Elvia Martínez-Viveros, and José Ignacio Chapela-Castañares "Application of a clustering-remote sensing method in analyzing security patterns", Proc. SPIE 7344, Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009, 734407 (13 April 2009); https://doi.org/10.1117/12.818911

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