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Exploring offence statistics in Stockholm City using spatial analysis tools
KTH, Superseded Departments, Infrastructure and Planning.ORCID iD: 0000-0001-5302-1698
2002 (English)In: Annals of the Association of American Geographers, ISSN 0004-5608, E-ISSN 1467-8306, Vol. 92, no 1, 29-51 p.Article in journal (Refereed) Published
Abstract [en]

The objective of this article is to investigate changes since the early 1980s in offence patterns for residential burglary, theft of and from cars, and vandalism in Stockholm City using methods from spatial statistics. The findings of previous Swedish studies on crime patterns and the insights provided by different theories, notably one propounded by Wikstrom (1991), provide a background for this study and are briefly reviewed. The analytical elements of the article are presented in two main parts. The first consists of a brief description of methodological procedures to obtain robust estimates of small-area standardized offence ratios. Attention is pail to both the spatial framework and the method of calculating rates. Standardized offence ratios (SORs) are calculated and mapped using GIS, and the Getis-Ord statistic is used to identify areas of raised incidence. The variation in a relative risk is modeled as a function of socioeconomic variables using the linear regression model, recognizing the complications raised by the spatial nature of the data. Results suggest that while there have been no dramatic changes in the geographies of these offences in Stockholm City during the last decade, there have been some shifts both in geographical patterns and in their association with underlying socioeconomic conditions.

Place, publisher, year, edition, pages
2002. Vol. 92, no 1, 29-51 p.
Keyword [en]
Getis-Ord statistic, offence rates, region-building, relative risk, spatial regression, crime, gis
Identifiers
URN: urn:nbn:se:kth:diva-21412ISI: 000174574300003OAI: oai:DiVA.org:kth-21412DiVA: diva2:340110
Note
QC 20100525Available from: 2010-08-10 Created: 2010-08-10 Last updated: 2017-12-12Bibliographically approved

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Ceccato, Vania

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