Explaining Crime Diversity with Google Street View
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. Bui...
| Authors: | ; ; ; |
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| Format: | Electronic Article |
| Language: | English |
| Published: |
2021
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| In: |
Journal of quantitative criminology
Year: 2021, Volume: 37, Issue: 2, Pages: 361-391 |
| Online Access: |
Volltext (lizenzpflichtig) |
| Journals Online & Print: | Drawer...
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| Check availability: | HBZ Gateway |
| Keywords: |
MARC
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| 520 | |a 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. | ||
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| 650 | 4 | |a Geographically weighted regression | |
| 650 | 4 | |a Computer vision | |
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