Modeling the Social and Spatial Proximity of Crime: Domestic and Sexual Violence Across Neighborhoods

Our goal is to understand the social dynamics affecting domestic and sexual violence in urban areas by investigating the role of connections between area nodes, or communities. We use innovative methods adapted from spatial statistics to investigate the importance of social proximity measured based...

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Detalles Bibliográficos
Autor principal: Kelling, Claire (Autor)
Otros Autores: Graif, Corina ; Haran, Murali ; Korkmaz, Gizem
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: [2021]
En: Journal of quantitative criminology
Año: 2021, Volumen: 37, Número: 2, Páginas: 481-516
Acceso en línea: Presumably Free Access
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Palabras clave:
Spatial generalized linear mixed models (SGLMM)
Social proximity
Commuting data
Police data initiative
Descripción
Sumario:Our goal is to understand the social dynamics affecting domestic and sexual violence in urban areas by investigating the role of connections between area nodes, or communities. We use innovative methods adapted from spatial statistics to investigate the importance of social proximity measured based on connectedness pathways between area nodes. In doing so, we seek to extend the standard treatment in the neighborhoods and crime literature of areas like census blocks as independent analytical units or as interdependent primarily due to geographic proximity.
ISSN:1573-7799
DOI:10.1007/s10940-020-09454-w