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    A network-based spatial analytical method for detecting agglomerations in a point distribution on a network and its implementation

    Shiode, Shino and Okabe, A. (2004) A network-based spatial analytical method for detecting agglomerations in a point distribution on a network and its implementation. Theory and Applications of GIS 12 (2), pp. 177-185. ISSN 1340-5381.

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    Abstract

    Many kinds of phenomena, including traffic accidents, road kills of wild animals and distribution of urban facilities, occur on a network. To analyze their spatial patterns, this paper proposes a new spatial analytical method, called NT-VCM (Network Variable Clumping Method), as an extension of Variable Clumping Method on a plane, which we developed earlier and named PLN-VCM (Planar Variable Clumping Method). The major function of NT-VCM is to statistically detect significant multi-level network clumps in the distribution of points on a network using Monte Carlo simulations. Applying NT-VCM and PLN-VCM to the same data set, this paper shows that NT-VCM preserves connectivity of points on a network better than PLN-VCM.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): network variable clumping method, point pattern analysis, network minimum spanning tree, shortest path
    School: Birkbeck Schools and Departments > School of Social Sciences, History and Philosophy > Department of Geography
    Depositing User: Sarah Hall
    Date Deposited: 10 Nov 2016 15:13
    Last Modified: 10 Nov 2016 15:13
    URI: http://eprints.bbk.ac.uk/id/eprint/16651

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