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Ding Weijie, Liang Ronghua, Sun Guodao, Chai Ye, Wang Xun, Zheng Ziwan. Research Progress of Crime Data Visualization[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(7): 979-989. DOI: 10.3724/SP.J.1089.2023.19566
Citation: Ding Weijie, Liang Ronghua, Sun Guodao, Chai Ye, Wang Xun, Zheng Ziwan. Research Progress of Crime Data Visualization[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(7): 979-989. DOI: 10.3724/SP.J.1089.2023.19566

Research Progress of Crime Data Visualization

  • Crime data analysis and mining have become the basic means of criminology research and modern social governance in the era of big data. Crime data plays an irreplaceable role in revealing the crime pattern, analyzing the crime causes and evaluating the effect of crime prevention. Firstly, guided by three business orientations including crime pattern discovery and prediction, police resource allocation and optimization, case investigation analysis and judgment, we summarize the crime data visual analysis tasks, systematically combed the research and application status of crime data visualization. Secondly, the paper also conducts systematic literature research on the visual analysis methods and technical means of different types of data, such as crime spatio-temporal data, crime text data and crime network data. Finally, the challenges of crime data visualization are summarized, as well as prospecting the development.
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