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Analysis of Relation Between Criminal Types and Spatial Characteristics in Urban Areas  

Cha, Gyeong Hyeon (광운대학교 전자융합공학과 유비쿼터스 통신 연구실)
Kim, Kyung Ho (광운대학교 전자융합공학과 유비쿼터스 통신 연구실)
Son, Ki Jun ((주)더아이엠씨)
Kim, Sang Ji ((주)위니텍)
Lee, Dong Chang ((주)위니텍)
Kim, Jin Young (광운대학교 전자융합공학과 유비쿼터스 통신 연구실)
Publication Information
Journal of Satellite, Information and Communications / v.10, no.1, 2015 , pp. 6-11 More about this Journal
Abstract
In this paper, we analyzed current states and spatial characteristics of crime occurring in A city of Colombia using big data of crime. The analysis draws on the crime statistics of Colombia National Police Agency from 2013 January to September. We also investigated spatial autocorrelation of crime using global and local Moran's Index. Spatial autocorrelation analysis shows significant spatial autocorrelation in the high frequency of crime. Global Moran's I analysis indicates that there are statistically significant value of crime area. Using local Moran's Index analysis, we also implement Local Indicators of Spatial Association(LISA) map and hot spot analysis helps us identify crime distribution.
Keywords
Big Data; Spatial Characteristic; Moran's Index; LISA Map; Hot Spot Analysis;
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