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

Author

Listed:
  • Atsuyuki Okabe

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

  • Shino Funamoto

    (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))

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.

Suggested Citation

  • Atsuyuki Okabe & Shino Funamoto, 2000. "An exploratory method for detecting multi-level clumps in the distribution of points – a computational tool, VCM (variable clumping method)," Journal of Geographical Systems, Springer, vol. 2(2), pages 111-120, July.
    • Handle: RePEc:kap:jgeosy:v:2:y:2000:i:2:d:10.1007_pl00011449
    DOI: 10.1007/PL00011449
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