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A GIS-Based Method for Delineating Spatial Clusters: A Modified AMOEBA Technique  

Lee, Sang-Il (Department of Geography Education, Seoul National University)
Cho, Dae-Heon (The Graduate School of Education, Ewha Womans University)
Sohn, Hak-Gi (Korea Research Institute for Human and Settlements)
Chae, Mi-Ok (Korea Research Institute for Human and Settlements)
Publication Information
Journal of the Korean Geographical Society / v.45, no.4, 2010 , pp. 502-520 More about this Journal
Abstract
The main objective of the paper is to develop a GIS-based method for delineating spatial clusters. Major tasks are: (i) to devise a sustainable algorithm with reference to various methods developed in the fields of geographic boundary analysis and cluster detection; (ii) to develop a GIS-based program to implement the algorithm. The main results are as follows. First, it is recognized that the AMOEBA technique utilizing LISA is the best candidate. Second, a modified version of the AMOEBA technique is proposed and implemented in a GIS environment. Third, the validity and usefulness of the modified AMOEBA algorithm is assured by its applications to test and real data sets.
Keywords
geographic boundary analysis; cluster detection; delineation of spatial clusters; wombling; local indicators of spatial association (LISA); AMOEBA technique;
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Times Cited By KSCI : 2  (Citation Analysis)
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