상세정보
학술대회
Bandwidth Selection of Kernel Density Estimation for GIS-based Crime Occurrence Map Visualization
- 발행일
- 202010
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1705-1708
- 협약과제
- 20HR3300, 위험 상황 초기 인지를 위한 ICT 기반의 범죄 위험도 예측 및 대응 기술 개발, 이용태
- 초록
- With the recent development of the Internet and satellites, the scope of utilization of the Geographic Information System (GIS)-based technology has been increasing. GIS refers to a system that integrates and manages spatial data and attribute data for objects with geographical locations to provide various forms of information, such as maps, diagrams and drawings In this paper, the Seoul Metropolitan Police Agency's crime statistics data occurred over a specific month period have been linked to visualize three types of maps including point-based map, area-based map and density-based map, and then bandwidth selection of Kernel Density Estimation(KDE) is explored for density-based map. It is expected that such a crime map visualization research will identify the distribution of spatial characteristics of crime and further combine them with urban-engineered, socio-economic, and demographic characteristics to be used to establish policing policies that consider regional characteristics.
- KSP 제안 키워드
- Bandwidth selection, GIS-based, Geographic Information System, Information systems(IS), Kernel Density Estimation, Map visualization, Regional characteristics, Socio-economic, Spatial characteristics, Spatial data, area-based