Measuring spatial co-agglomeration patterns by extending ESDA techniques

Karsten Rusche, Uwe Kies () and Andreas Schulte

Review of Regional Research: Jahrbuch für Regionalwissenschaft, 2011, vol. 31, issue 1, 25 pages

Abstract: 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

Keywords: Spatial clustering; Coagglomeration; Bivariate Moran’s I; Exploratory spatial data analysis; C21; L73; R12 (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1007/s10037-011-0051-0

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