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ISPRS Int. J. Geo-Inf. 2017, 6(3), 65; doi:10.3390/ijgi6030065

Linking Neighborhood Characteristics and Drug-Related Police Interventions: A Bayesian Spatial Analysis

1
Department of Social Psychology, University of Valencia, Avda. Blasco Ibáñez, 21, 46010 Valencia, Spain
2
Department of Statistics and Operations Research, University of Valencia, Dr. Moliner, 50, Burjassot, 46100 Valencia, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Marco Helbich, Michael Leitner and Wolfgang Kainz
Received: 15 December 2016 / Revised: 8 February 2017 / Accepted: 21 February 2017 / Published: 25 February 2017
(This article belongs to the Special Issue Frontiers in Spatial and Spatiotemporal Crime Analytics)
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Abstract

This paper aimed to analyze the spatial distribution of drug-related police interventions and the neighborhood characteristics influencing these spatial patterns. To this end, police officers ranked each census block group in Valencia, Spain (N = 552), providing an index of drug-related police interventions. Data from the City Statistics Office and observational variables were used to analyze neighborhood characteristics. Distance to the police station was used as the control variable. A Bayesian ecological analysis was performed with a spatial beta regression model. Results indicated that high physical decay, low socioeconomic status, and high immigrant concentration were associated with high levels of drug-related police interventions after adjustment for distance to the police station. Results illustrate the importance of a spatial approach to understanding crime. View Full-Text
Keywords: drug-related police interventions; neighborhoods; Bayesian spatial modeling; small-area variations; risk maps drug-related police interventions; neighborhoods; Bayesian spatial modeling; small-area variations; risk maps
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Marco, M.; Gracia, E.; López-Quílez, A. Linking Neighborhood Characteristics and Drug-Related Police Interventions: A Bayesian Spatial Analysis. ISPRS Int. J. Geo-Inf. 2017, 6, 65.

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