Violent crime in Lithuania: trends and patterns in 2015–2020

Beconytė, Giedrė; Gružas, Kostas; Govorov, Michael

doi:10.5194/agile-giss-3-25-2022

Cited by 1 publication

(1 citation statement)

References 4 publications

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“…Thangavelu A. identified the distribution of crimes to challenges facing the police departments that pursue to implement computerized crime mapping systems [ 9 ]. Giedrė Beconytė presented the results of violent crime spatial distribution in Lithuania [ 10 ]. Anthony R. Cummings used three spatial analysis tools, hotspot analysis, mean center, and standard deviation ellipse to examine the changing distribution of violent crime in Guyana [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Identifying the Spatio-Temporal Characteristics of Crime in Liangshan Prefecture, China

Cheng

Rao

Tang

et al. 2022

IJERPH

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Crime prevention and governance play critical roles in public security management. Liangshan Yi Autonomous Prefecture in Sichuan Province has a high crime rate, and spatio-temporal analysis of crime in this region could assist with public security management. Therefore, Liangshan Prefecture was selected as the research object in this study. The spatial crime data were obtained from China Judgments Online, and property crime, violent crime, and special crime (i.e., pornography, gambling, drugs, and guns) were analyzed. The findings were as follows. In terms of time characteristics (month, day, and hour), property crime tended to occur in autumn and winter, in the early month, on Wednesdays and Fridays, and at early morning. Violent crime tended to occur in winter and spring, on Mondays and Thursdays, and at night. Special crime occurred in spring and autumn, on Tuesdays, and in the daytime. In terms of spatial features, the central region of Liangshan Prefecture was the focal area for crime. There were obvious low-aggregation areas in the western region for special crime. The eastern region exhibited a high incidence of various crimes. Regarding the spatio-temporal evolution characteristics from 2013 to 2019, there were some obvious hotspots of violent and property crime in downtown and surrounding townships of Xichang City, which is the capital of Liangshan Prefecture. During the study period, the incidence of special crime has an obvious downward trend which shows that there are more new cold spots.

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Section: Introductionmentioning

confidence: 99%