This study analyzed the spatial distribution of violent crime (murder, robbery, rape, assault, and larceny) in Korea and the relationship between violent crime and the governance, administrative, physical, and socio-economic factors of local communities. The occurrence of violent crime was approached from the perspective of the community, not from a personal perspective, based on the theoretical ecological perspective. In addition, an analysis model (spatial lag model) designed to analyze spillover effect between neighboring communities. For the analysis, this study used the data of 56 sub-local governments of Seoul Metropolitan City and Gyeonggi Province in 2015.The analysis results are as follows: First, this study identified five major violent crime occurrence situations through descriptive statistical analysis. Second, the hot-spot and cold-spot of violent crime were derived through exploratory spatial analysis (Moran's I, LISA). Third, this study derived the relationship between the incidence of violent crime and the governance, administrative, physical, and socioeconomic factors of the community through spatial regression analysis based on the spatial lag model. Specifically, the valid factors influenced on the five major violent as follows: variables of local security council in space effect and governance; variables of crime monitoring facilities and crime agency in administrative capacity; variables of detrimental facilities density in physical environment; variables of race heterogeneity and family disorganization(divorce rate) in socio-economic environments. This study presented policy implications based on the above analysis results.

中文翻译：

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韩国暴力犯罪的影响因素分析与空间集聚

这项研究分析了韩国暴力犯罪（谋杀，抢劫，强奸，攻击和盗窃）的空间分布，以及暴力犯罪与当地社区的治理，行政，身体和社会经济因素之间的关系。暴力犯罪的发生是从社区的角度出发，而不是从个人的角度出发，是基于理论的生态学角度。此外，还设计了一个分析模型（空间滞后模型），用于分析相邻社区之间的溢出效应。为了进行分析，本研究使用了2015年首尔市和京畿道的56个地方政府的数据。分析结果如下：首先，本研究通过描述性统计分析确定了五种主要的暴力犯罪发生情况。第二，暴力犯罪的热点和冷点是通过探索性空间分析得出的（Moran's I，LISA）。第三，本研究通过基于空间滞后模型的空间回归分析，得出了暴力犯罪的发生率与社区的治理，行政，自然和社会经济因素之间的关系。具体而言，有效因素影响了以下五种主要暴力行为：地方安全委员会在空间影响和治理方面的变量；犯罪监测设施和犯罪机构在行政能力方面的变量；物理环境中有害设施密度的变量；社会经济环境下种族异质性和家庭无序性（离婚率）的变量。这项研究基于上述分析结果提出了政策含义。