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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Detalles Bibliográficos
Autor principal: Bediroglu, Gamze (Autor)
Otros Autores: Bediroglu, Sevket ; Colak, H. Ebru
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2018
En: Crime & delinquency
Año: 2018, Volumen: 64, Número: 14, Páginas: 1820-1835
Acceso en línea: Volltext (Verlag)
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Palabras clave:
Crime prevention
Repeat and near-repeat
Crime statistics
Interpolation
Kriminalprävention
Kriminalstatistiken
Descripción
Sumario: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