作者: Yeondae Jung , Yongwan Chun , Daniel A. Griffith
DOI: 10.1016/J.APGEOG.2020.102340
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摘要: Abstract Although weather is expected to influence human behavior, including crime, its association with crime has been relatively understudied in an environmental context of small areal and temporal units. This study investigates the between temperature assaults city Seoul, South Korea. It also examines how interaction socio-economic variables relates assaults. Monthly assault counts administrative units for a 36-month period are described Bayesian Poisson models. Employing space-time structure dataset, these models specified set spatial and/or effects estimated integrated nested Laplace approximation (INLA). Results show that model specification accounting better explains data. Also, results indicate risk higher high temperatures, areas low economic status, highly commercialized land use areas. Moreover, significant interactions (specifically, status commercial use) found.