T. Osaragi. Spatial custering method for geographic data. Working Paper Series 41, Centre for Advanced Spatial Analysis – University College London, London, UK, 2002. [url]
This paper presents a good review of methods for Spatial Clustering. Most of these do not employ statistical methods in the process of visualizing spatial data. The effect is that the results vary with the level of aggregation and with the configuration of the zoning system.
In this paper, the authors try to oppose this proposing a method considering the characteristics of the local spatial distribution of attributes. The discuss namely the question: Which places should be unified as a spatial unit in the sense of a statistical model?
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