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MEASURING AGGLOMERATION : AN EXPLORATORY SPATIAL ANALYSIS APPROACH APPLIED TO THE CASE OF PARIS AND ITS SURROUNDINGS *

This paper suggests a methodology allowing the measurement of the degree of spatial agglomeration and the identification of location patterns of economic sectors. We develop an approach combining the locational Gini index with the tools of Exploratory Spatial Data Analysis. Applying this methodology on Paris and its surroundings for 26 manufacturing and services sectors in 1999, we find that the Gini coefficient and the global Moran’s I provide different but complementary information about the spatial agglomeration of the sectors considered. Moran scatterplots and LISA statistics reveal a high level of diversity in location patterns across sectors.