TY  - JOUR
PY  - 2018//
TI  - A crime prevention system in spatiotemporal principles with repeat, near-repeat analysis and crime density mapping: case study Turkey, Trabzon
JO  - Crime and delinquency
A1  - Bediroglu, Gamze
A1  - Bediroglu, Sevket
A1  - Çolak, H. Ebru
A1  - Yomralioglu, Tahsin
SP  - 1820
EP  - 1835
VL  - 64
IS  - 14
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 0011-1287
UR  - http://dx.doi.org/10.1177/0011128717750391
ID  - ref1
ER  -