Explaining crime diversity with Google street view
2021-06-01Springer US 2021Code Available0· sign in to hype
Samira Khorshidi, Jeremy Carter, George Mohler, George Tita
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Abstract
Crime diversity is a measure of the variety of criminal offenses in a local environment, similar to ecological diversity. While crime diversity distributions have been explained via neutral models, to date the environmental and social mechanisms behind crime diversity have not been investigated. Building on recent work demonstrating that crime rates can be inferred from street level imagery with neural network computer vision models, in this paper we consider the task of inferring crime diversity through street level imagery.