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An exploratory method for detecting multi-level clumps in the distribution of points – a computational tool, VCM (variable clumping method)

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Abstract.

This paper shows an explanatory tool (a FORTRAN program linked to GIS software), called VCM (Variable Clumping Method), for detecting statistically significant `multi-level clumps' in the distribution of points. The multi-level clumps imply a set of clumps whose clumping radius varies from a small radius to a large radius (in spirits, VCM is similar to the K-function method). Compared with the ordinary (fixed radius) clumping method, VCM can detect overall significant clumps in the distribution of points.

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Authors and Affiliations

  1. Center for Spatial Information ScienceUniversity of Tokyo, 7-3-1 Hong, Bunkyo-ku, Tokyo 113-8656, Japan, , , , , , JP

    Atsuyuki Okabe

  2. Department of Urban Engineering University of Tokyo, 7-3-1 Hong, Bunkyo-ku, Tokyo 113-8656, Japan (e-mail: atsu@okabe.t.u-tokyo.ac.jp), , , , , , JP

    Shino Funamoto

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  1. Atsuyuki Okabe
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  2. Shino Funamoto
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Received: 8 March 1999/Accepted: 17 September 1999

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Okabe, A., Funamoto, S. An exploratory method for detecting multi-level clumps in the distribution of points – a computational tool, VCM (variable clumping method). J Geograph Syst 2, 111–120 (2000). https://doi.org/10.1007/PL00011449

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  • DOI: https://doi.org/10.1007/PL00011449

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