Unveiling relationships between crime and property in England and Wales via density scale-adjusted metrics and network tools.

ABSTRACT: Scale-adjusted metrics (SAMs) are a significant achievement of the urban scaling hypothesis. SAMs remove the inherent biases of per capita measures computed in the absence of isometric allometries. However, this approach is limited to urban areas, while a large portion of the world's population still lives outside cities and rural areas dominate land use worldwide. Here, we extend the concept of SAMs to population density scale-adjusted metrics (DSAMs) to reveal relationships among different types of crime and property metrics. Our approach allows all human environments to be considered, avoids problems in the definition of urban areas, and accounts for the heterogeneity of population distributions within urban regions. By combining DSAMs, cross-correlation, and complex network analysis, w

SUBMITTER: Ribeiro HV 

PROVIDER: S-EPMC5823401 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature