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Proceedings Paper

Using clustering methods in geospatial information systems
Author(s): Xin Wang; Howard Hamilton
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Paper Abstract

Spatial clustering is the process of grouping similar objects based on their distance, connectivity, or relative density in space, which has been employed for spatial analysis over years. To be able to integrate the proper clustering methods in geospatial information systems, two problems are discussed in the paper: how to select a proper spatial clustering methods and how to implement the clustering method in GIS. In this paper, we will give a detailed discussion on different types of clustering methods. Analysis on advantages and limitations for some classical clustering methods are given. Then we will discuss some issues of using the spatial clustering methods in the geospatial information systems.

Paper Details

Date Published: 10 November 2008
PDF: 10 pages
Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71461N (10 November 2008); doi: 10.1117/12.813150
Show Author Affiliations
Xin Wang, Univ. of Calgary (Canada)
Howard Hamilton, Univ. of Regina (Canada)


Published in SPIE Proceedings Vol. 7146:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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