A crime prevention system in spatiotemporal principles with repeat, near-repeat analysis and crime density mapping: case study Turkey, Trabzon

In this study, we investigated crime events with repeat and near-repeat analysis for Turkey’s Trabzon city’s crime data after standardization process on raw crime data. First, a new crime geodatabase model was created. All types of recorded crime data for events between the years 2010 and 2014 were...

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Bibliographische Detailangaben
1. VerfasserIn: Bediroglu, Gamze (VerfasserIn)
Beteiligte: Bediroglu, Sevket ; Colak, H. Ebru
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 2018
In: Crime & delinquency
Jahr: 2018, Band: 64, Heft: 14, Seiten: 1820-1835
Online-Zugang: Volltext (Verlag)
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Schlagwörter:
Crime prevention
Repeat and near-repeat
Crime statistics
Interpolation
Kriminalprävention
Kriminalstatistiken
Beschreibung
Zusammenfassung:In this study, we investigated crime events with repeat and near-repeat analysis for Turkey’s Trabzon city’s crime data after standardization process on raw crime data. First, a new crime geodatabase model was created. All types of recorded crime data for events between the years 2010 and 2014 were standardized, generalized, and Geo-referenced. We gave certain locations to crime events with geocoding techniques. Then, we created density maps of crime events with Kernel method in Geographic Information Systems (GIS). Repeat and near-repeat methods were tested on Burglary crime type in this geodatabase. Studies focused to applying prediction analysis besides showing current situation. These predictive analyses may be applied for all the security, intelligence, or defense departments at local, national, or international levels.
ISSN:1552-387X
DOI:10.1177/0011128717750391