- Abstract:
-
Objectives
Generally speaking, crime is, fortunately, a rare event. As far as modelling is concerned, this sparsity of data means that traditional measures to quantify concentration are not appropriate when applied to crime suffered by a population. Our objective is to develop a new technique to measure the concentration of crime which takes into account its low frequency of occurrence and its high degree of concentration in such a way that this measure is comparable over time an...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 854.1kb)
-
- Publisher copy:
- 10.1007/s10940-017-9354-9
-
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- Publisher:
- Springer Publisher's website
- Journal:
- Journal of Quantitative Criminology Journal website
- Volume:
- 34
- Issue:
- 3
- Pages:
- 775-803
- Publication date:
- 2017-05-16
- Acceptance date:
- 2017-05-01
- DOI:
- EISSN:
-
1573-7799
- ISSN:
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0748-4518
- Pubs id:
-
pubs:927259
- URN:
-
uri:6697ee04-2f3b-4999-a050-ca9175a3cef0
- UUID:
-
uuid:6697ee04-2f3b-4999-a050-ca9175a3cef0
- Local pid:
- pubs:927259
- Copyright holder:
- Prieto Curiel et al
- Copyright date:
- 2017
- Notes:
- © The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- License:
- CC BY
Journal article
Measuring the distribution of crime and its concentration
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