Abstract
This paper examined the spatial patterns of crime in a part of Tokyo. 68400 cases reported to the police were classified by 15 crime types, and then Moran's I, one of the indicators of the spatial autocorrelation was calculated using CrimeStat software. Moran's I for almost crime types including burglary, theft, snatching indicates significantly positive autocorrelation. To examine the effects of aggregation unit's size on Moran's I, data aggregated by both residential blocks and chome districts are used for calculation.The results from two types of spatial weight matrix are also discussed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
