Original Paper

Jahrbuch für Regionalwissenschaft

, Volume 31, Issue 1, pp 11-25

First online:

Measuring spatial co-agglomeration patterns by extending ESDA techniques

  • Karsten RuscheAffiliated withResearch Institute for Regional and Urban Development (ILS) Email author 
  • , Uwe KiesAffiliated withWald-Zentrum (Centre of Forest Ecosystems), Westfälische Wilhelms-Universität
  • , Andreas SchulteAffiliated withWald-Zentrum (Centre of Forest Ecosystems), Westfälische Wilhelms-Universität

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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.


Spatial clustering Coagglomeration Bivariate Moran’s I Exploratory spatial data analysis

JEL Classification

C21 L73 R12