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Cross-scale analysis of cluster correspondence using different operational neighborhoods

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Abstract

Cluster correspondence analysis examines the spatial autocorrelation of multi-location events at the local scale. This paper argues that patterns of cluster correspondence are highly sensitive to the definition of operational neighborhoods that form the spatial units of analysis. A subset of multi-location events is examined for cluster correspondence if they are associated with the same operational neighborhood. This paper discusses the construction of operational neighborhoods for cluster correspondence analysis based on the spatial properties of the underlying zoning system and the scales at which the zones are aggregated into neighborhoods. Impacts of this construction on the degree of cluster correspondence are also analyzed. Empirical analyses of cluster correspondence between paired vehicle theft and recovery locations are conducted on different zoning methods and across a series of geographic scales and the dynamics of cluster correspondence patterns are discussed.

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Authors and Affiliations

  1. Department of Geography, Texas State University–San Marcos, 601 University Drive, San Marcos, TX, 78666, USA

    Yongmei Lu

  2. Department of Geography and Earth Sciences, University of North Carolina at Charlotte, 9201 University City Blvd., McEniry Building, Room 324, Charlotte, NC, 28223, USA

    Jean-Claude Thill

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  1. Yongmei Lu
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  2. Jean-Claude Thill
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Correspondence to Yongmei Lu.

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Lu, Y., Thill, JC. Cross-scale analysis of cluster correspondence using different operational neighborhoods. J Geograph Syst 10, 241–261 (2008). https://doi.org/10.1007/s10109-008-0069-1

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  • DOI: https://doi.org/10.1007/s10109-008-0069-1

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