Too Fine to be Good? Issues of Granularity, Uniformity and Error in Spatial Crime Analysis

Crime counts are sensitive to granularity choice. There is an increasing interest in analyzing crime at very fine granularities, such as street segments, with one of the reasons being that coarse granularities mask hot spots of crime. However, if granularities are too fine, counts may become unstabl...

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Bibliographic Details
Main Author: Ramos, Rafael G. (Author)
Contributors: Clarke, Keith C. ; Prates, Marcos ; Silva, Bráulio F. A.
Format: Electronic Article
Language:English
Published: 2021
In: Journal of quantitative criminology
Year: 2021, Volume: 37, Issue: 2, Pages: 419-443
Online Access: Volltext (lizenzpflichtig)
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Keywords:
Criminology of place
Crime Mapping
Granularity
Scale
Error
Description
Summary:Crime counts are sensitive to granularity choice. There is an increasing interest in analyzing crime at very fine granularities, such as street segments, with one of the reasons being that coarse granularities mask hot spots of crime. However, if granularities are too fine, counts may become unstable and unrepresentative. In this paper, we develop a method for determining a granularity that provides a compromise between these two criteria.
ISSN:1573-7799
DOI:10.1007/s10940-020-09474-6