Analysis of Point Patterns Using the Network Cell Count Method

• SHIODE Shino

  Center for Spatial Information Science, University of Tokyo

• OKABE Atsuyuki

Bibliographic Information

Other Title

• ネットワーク・セルカウント法を用いた点分布の分析
• ネットワーク セルカウントホウ オ モチイタ テン ブンプ ノ ブンセキ

Abstract

One of the most fundamental spatial analytical methods on a two-dimensional plane is the cell count method. This paper extends the ordinary cell count method defined on a plane, called the planar cell count method, to a method defined on a network, called the network cell count method. These two methods are applied to the same distribution of points in a small study area in Shibuya, Tokyo. The statistical tests by the goodness-of-fit test and a spatial autocorrelation analysis reveal that the planar cell count method tends to overestimate the extent of dispersion in comparison with the network cell count method.

Journal

• Theory and Applications of GIS

  Theory and Applications of GIS 12 (2), 155-164, 2004

  Geographic Information Systems Association

Keywords

• network cell count method
• shortest path tree
• goodness-of-fit test
• spatial autocorrelation

Details

• CRID: 1390282679451452544
• NII Article ID: 10014311799
• NII Book ID: AN10457305
• DOI: 10.5638/thagis.12.155
• ISSN: 21855633
• ISSN: 13405381
• NDL BIB ID: 7260788
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I7260788
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed