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Anton Borg and Martin Svensson
The evidence that burglaries cluster spatio-temporally is strong. However, research is unclear on whether clustered burglaries (repeats/near-repeats) should be treated as qualitatively different crimes compared to spatio-temporally unrelated burglaries (...
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Kazuki Hirama, Kaeko Yokota, Yusuke Otsuka, Kazumi Watanabe, Naoto Yabe and Yoshinori Hawai
This study used spatial interaction modeling to examine whether origin-specific and destination-specific factors, distance decay effects, and spatial structures explain the criminal trips of residential burglars. In total, 4041 criminal trips committed b...
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Rafael G. Ramos
Standardized crime rates (e.g., ?homicides per 100,000 people?) are commonly used in crime analysis as indicators of victimization risk but are prone to several issues that can lead to bias and error. In this study, a more robust approach (GWRisk) is pro...
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Jianguo Chen, Lin Liu, Luzi Xiao, Chong Xu and Dongping Long
Negative binomial (NB) regression model has been used to analyze crime in previous studies. The disadvantage of the NB model is that it cannot deal with spatial effects. Therefore, spatial regression models, such as the geographically weighted Poisson re...
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Peng Chen and Justin Kurland
?Strike Hard? is an enhanced law-enforcement strategy in China that aims to suppress crime, but measurement of the crime-reducing effect and potential changes in the spatiotemporal concentration of crime associated with ?Strike Hard? remain unknown. This...
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Venezija Ilijazi, Nenad Milic, Dragan Milidragovic and Brankica Popovic
The idea behind patrol activity is that police officers should be the persons best acquainted with the events and people in their patrol area. This implies that they should have access to relevant data and information (e.g., where and how to pay attentio...
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