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Measuring spatial co-agglomeration patterns by extending ESDA techniques

Listed author(s):
  • Karsten Rusche

    ()

  • Uwe Kies

    ()

  • Andreas Schulte

An emerging topic in spatial statistics is the analysis of agglomerations within a regional context. Often, these ‘spatial clusters’ are formed by effects of spatial co-agglomeration. This article introduces an extended bivariate Moran’s I statistic in a case study of German furniture industries. It allows to jointly account for the clustering of two different industries. The method is integrated into the context of Exploratory Spatial Data Analyses. Results show that the approach is a suitable tool for the detection and delineation of co-agglomerations in space by adding self-inclusion of cluster cores and by offering measures of statistical significance. Copyright Springer-Verlag 2011

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File URL: http://hdl.handle.net/10.1007/s10037-011-0051-0
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Article provided by Springer & Gesellschaft für Regionalforschung (GfR) in its journal Jahrbuch für Regionalwissenschaft.

Volume (Year): 31 (2011)
Issue (Month): 1 (June)
Pages: 11-25

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Handle: RePEc:spr:jahrfr:v:31:y:2011:i:1:p:11-25
DOI: 10.1007/s10037-011-0051-0
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