Jahrbuch für Regionalwissenschaft

, Volume 31, Issue 1, pp 11–25

Measuring spatial co-agglomeration patterns by extending ESDA techniques

Authors

    • Research Institute for Regional and Urban Development (ILS)
  • Uwe Kies
    • Wald-Zentrum (Centre of Forest Ecosystems)Westfälische Wilhelms-Universität
  • Andreas Schulte
    • Wald-Zentrum (Centre of Forest Ecosystems)Westfälische Wilhelms-Universität
Original Paper

DOI: 10.1007/s10037-011-0051-0

Cite this article as:
Rusche, K., Kies, U. & Schulte, A. Jahrb Reg wiss (2011) 31: 11. doi:10.1007/s10037-011-0051-0

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.

Keywords

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

JEL Classification

C21 L73 R12

Copyright information

© Springer-Verlag 2011