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Crime Prediction Model based on Meteorological Changes and Discomfort Index  

Kim, JongMin (경기대학교 산업보안학과)
Kim, MinSu (경기대학교 산업보안학과)
Kim, Kuinam J. (경기대학교 융합보안학과)
Publication Information
Convergence Security Journal / v.14, no.6_2, 2014 , pp. 89-95 More about this Journal
Abstract
This study analyzed a correlation between crime and meteorological changes and discomfort index of Seoul and p resented a prediction expression through the regression analysis. For data used in this study, crime data from Januar y 2008 to December 2012 of Seoul Metropolitan Police Agency and meteorological records and discomfort index recor ded in the Meteorological Agency through the portal sites were used. Based on this data, SPSS 18.0 was used for the regression analysis and the analysis of correlation between crime and meteorological changes and discomfort index and a prediction expression was derived through the analysis and the risk index was shown in 5 steps depending on predicted values obtained through the prediction expression derived. The risk index of 5 steps classified like this is considered to be used as important data for crime prevention activities.
Keywords
SPSS; Weather; Crime; Prediction; Discomfort index;
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