Abstract
This study uses the crime hot spots announced by the Taipei police as an example. With the combination of the geographic information system and data mining technologies, it can effectively find out the association rules between the crime hot spots and spatial landscape, and the distance between them. This paper could provide information to the public-security organizations for enhanced patrol of the potential crime hot spots, but is also served as references of urban renewal. It reduces the crime hot spots by avoiding programming the spatial landscape of crime hot spots, therefore promoting safety and happiness of the society.
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Huang, SM. (2013). A Study of the Application of Data Mining on the Spatial Landscape Allocation of Crime Hot Spots. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_29
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DOI: https://doi.org/10.1007/978-3-642-45025-9_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45024-2
Online ISBN: 978-3-642-45025-9
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