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Information Dynamics in Urban Crime

Laboratory for Automation and Computational Intelligence, Universidad Distrital Francisco José de Caldas, Bogotá 110311, Colombia
Institute for Geophysics, Pontifical Xaverian University, Bogotá 110311, Colombia
Author to whom correspondence should be addressed.
Entropy 2018, 20(11), 874;
Received: 28 September 2018 / Revised: 1 November 2018 / Accepted: 6 November 2018 / Published: 14 November 2018
(This article belongs to the Special Issue Information Theory in Complex Systems)
Information production in both space and time has been highlighted as one of the elements that shapes the footprint of complexity in natural and socio-technical systems. However, information production in urban crime has barely been studied. This work copes with this problem by using multifractal analysis to characterize the spatial information scaling in urban crime reports and nonlinear processing tools to study the temporal behavior of this scaling. Our results suggest that information scaling in urban crime exhibits dynamics that evolve in low-dimensional chaotic attractors, and this can be observed in several spatio-temporal scales, although some of them are more favorable than others. This evidence has practical implications in terms of defining the characteristic scales to approach urban crime from available data and supporting theoretical perspectives about the complexity of urban crime. View Full-Text
Keywords: information; multifractal analysis; dynamics; chaos; crime information; multifractal analysis; dynamics; chaos; crime
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MDPI and ACS Style

Melgarejo, M.; Obregon, N. Information Dynamics in Urban Crime. Entropy 2018, 20, 874.

AMA Style

Melgarejo M, Obregon N. Information Dynamics in Urban Crime. Entropy. 2018; 20(11):874.

Chicago/Turabian Style

Melgarejo, Miguel, and Nelson Obregon. 2018. "Information Dynamics in Urban Crime" Entropy 20, no. 11: 874.

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