A Crime Prevention System in Spatiotemporal Principles With Repeat, Near-Repeat Analysis and Crime Density Mapping: Case Study Turkey, Trabzon

Gamze Bediroglu*, Sevket Bediroglu, H. Ebru Colak, Tahsin Yomralioglu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1820-1835
Number of pages16
JournalCrime and Delinquency
Volume64
Issue number14
DOIs
Publication statusPublished - 1 Dec 2018

Bibliographical note

Publisher Copyright:
© The Author(s) 2018.

Keywords

  • crime prevention
  • crime statistics
  • interpolation
  • repeat and near-repeat

Fingerprint

Dive into the research topics of 'A Crime Prevention System in Spatiotemporal Principles With Repeat, Near-Repeat Analysis and Crime Density Mapping: Case Study Turkey, Trabzon'. Together they form a unique fingerprint.

Cite this