Second-Order Analysis of Point Patterns: The Case of Chicago as a Multi-center Urban Region

  • Arthur Getis
Part of the Advances in Spatial Science book series (ADVSPATIAL)


A comprehensive approach to the analysis of point patterns demonstrates the usefulness of second-order methods by exploring population distribution in the Chicago region. The methods are based on the development of a distribution of all interpoint distances representing the total covariation in a pattern. Clustering and inhibition models are explored with regard to the population pattern. Some evidence supports a multi-center city hypothesis for the region.


Poisson Process Point Pattern Spatial Point Pattern Population Pattern Interpoint Distance 
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© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Department of GeographyUniversity of IllinoisUrbana-ChampaignILUSA

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