An optimised approach to near repeat analysis for intelligence driven crime linkage

Author(s):  
Jamie S. Spaulding ◽  
Keith B. Morris
2020 ◽  
pp. 101721
Author(s):  
Cory P. Haberman ◽  
David Hatten ◽  
Jeremy G. Carter ◽  
Eric L. Piza
Keyword(s):  

2019 ◽  
Vol 17 (5) ◽  
pp. 661-677 ◽  
Author(s):  
Joakim Sturup ◽  
Manne Gerell ◽  
Amir Rostami

Hand grenade attacks have increasingly been reported in Sweden. However, to date no research on the topic exists. The present study aims to describe the illegal use of hand grenades and to test its spatio-temporal relationship with gun violence to explore whether the two forms of violence are connected. Data were collected for the years 2011 to 2016 from the Swedish police and from open sources about hand grenade detonations, which were considered alongside shootings as two types of violence commonly attributed to criminal groups. Descriptive data and trends are presented and spatio-temporal analysis of near-repeat patterns was performed using a near-repeat calculator. All in all, there were 77 incidents of detonated hand grenades in Sweden during the six-year observation period, in which nine individuals were injured and one killed. The number of incidents increased, with about half of the them occurring during the last year. A near-repeat analysis was performed on shootings ( N = 1048) and hand grenades ( N = 55) in Stockholm, Gothenburg and Malmö. The shootings exhibit a strong component of near-repeat patterns, but adding hand grenades to the analysis did not strengthen the patterns, suggesting that the two types of violence only partially share spatio-temporal patterns. The study confirms an increase in the use of hand grenades in Sweden, although the reason for the increase is unknown. The increase does fit with the overall changing pattern in violence in urban areas in Sweden, which broadly tends to be attributed to criminal groups in disadvantaged neighbourhoods.


2018 ◽  
Vol 64 (14) ◽  
pp. 1820-1835 ◽  
Author(s):  
Gamze Bediroglu ◽  
Sevket Bediroglu ◽  
H. Ebru Colak ◽  
Tahsin Yomralioglu

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.


2017 ◽  
Vol 31 (1) ◽  
pp. 73-92 ◽  
Author(s):  
Joakim Sturup ◽  
Amir Rostami ◽  
Manne Gerell ◽  
Anders Sandholm
Keyword(s):  

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