A study of factor analysis affecting major crimes by using R program

초록

CCTV(Closed Circuit Television) is a decisive means in coping with crime investigations and arresting criminals. CCTV not only provides efficient directions for crime investigations but is highly useful to do a security check, personal inquiries, and reconstruction of accidents. However, it is not always safe out of felony or major crimes to install CCTVs in vulnerable crime areas. Furthermore, it is even vague to analyze the causes of major crimes and examination of crime environments. In addition, considering diverse local boroughs in Seoul, it is not simple to assume this or that crime cause. Therefore, this paper investigated the analysis of correlation with major crimes and multiple linear regression analysis through the statistic program R by collecting the number of street lamps, CCTVs, seniors, populations, incoming populations, outcoming populations, and housing owners in each local borough from 2010 to 2014. For this purpose correlation analyzed number of street lamps, incoming population, CCTVs, and seniors respectively. Before analyzing multiple linear regression analysis, we excluded existing inappropriate variables which greatly affect by selecting the greatest subset through the seven independent variables. As a result of the greatest subset, we could find that the independent variables affecting major crimes were the number of street lamp, incoming population and housing owners. According to the result of analyzing subordinate variables and independent variables, each of p-value, R2, was suitable and for the independent variables in connection with reliability scope, all of them were included within the boundary of reliability. In this study using a factor analysis presented are expecting an effect capable of suppressing the violent crimes. © 2018 SERSC Australia.

키워드