TY - GEN
T1 - Analyzing spatio-temporal distribution of crime hot-spots and their related factors in Shanghai, China
AU - Wang, Zhanhong
AU - Wu, Jianping
AU - Yu, Bailang
PY - 2011
Y1 - 2011
N2 - As an analysis method for temporal and spatial variations, the hot spot analysis is an effective way to reveal the implied relationship among events. Crime hot spots analysis is fundamentally important for the public safety, and can contribute to combat and prevent crime. In this study, the monthly hotspots of thefts and robberies in Shanghai in 2009 are analyzed and mapped by using the hotspot analysis tool of ArcGIS 9.3. The spatio-temporal variations of hotspots for those two types of crime are identified. In order to find their related factors, the Principal Component Analysis (PCA) is adopted to investigate the 18 indicators (e.g. resident population density and floating population density) involved in the crime distribution. The main factors related to the crime hot spots are discussed. The spatio-temporal variations of crime hot spots would benefit the decision-making for combating and preventing urban crime.
AB - As an analysis method for temporal and spatial variations, the hot spot analysis is an effective way to reveal the implied relationship among events. Crime hot spots analysis is fundamentally important for the public safety, and can contribute to combat and prevent crime. In this study, the monthly hotspots of thefts and robberies in Shanghai in 2009 are analyzed and mapped by using the hotspot analysis tool of ArcGIS 9.3. The spatio-temporal variations of hotspots for those two types of crime are identified. In order to find their related factors, the Principal Component Analysis (PCA) is adopted to investigate the 18 indicators (e.g. resident population density and floating population density) involved in the crime distribution. The main factors related to the crime hot spots are discussed. The spatio-temporal variations of crime hot spots would benefit the decision-making for combating and preventing urban crime.
KW - crime hot spot
KW - hot spot analysis
KW - principal component analysis
KW - spatial-temporal distribution
UR - https://www.scopus.com/pages/publications/80052378766
U2 - 10.1109/GeoInformatics.2011.5981000
DO - 10.1109/GeoInformatics.2011.5981000
M3 - 会议稿件
AN - SCOPUS:80052378766
SN - 9781612848488
T3 - Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
BT - Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
T2 - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
Y2 - 24 June 2011 through 26 June 2011
ER -
