Spatial analysis using clustering methods: Evaluating central point and median approaches |
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Authors: | Alan T Murray |
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Institution: | (1) Department of Geography, The Ohio State University, 1036 Derby Hall, 154 North Oval Mall, Columbus, OH 43210-1361, USA (e-mail: murray.308@osu.edu), US |
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Abstract: | Spatial analysis is an important area of research which continues to make major contributions to the exploratory capabilities
of geographical information systems. The use and application of classic clustering methods is being pursued as an exploratory
approach for the analysis of spatially referenced data. Numerous potential clustering approaches exist, so research assessing
the relative differences of these approaches is important. This paper evaluates the median and central points optimization
based clustering approaches for use in the context of exploratory spatial data analysis. Functional and visual comparisons
using three spatial applications across a range of cluster values are carried out. The empirical results suggest that these
two clustering approaches identify very similar groupings. The significance of this finding is that the development of clustering
tools for exploratory analysis may be limited to the median based approach given relative computational and solvability considerations.
Received: 28 September 1998/Accepted: 9 August 1999 |
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Keywords: | : Spatial analysis clustering GIS ESDA |
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