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

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

Abstract

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.

Keywords

Poisson Process Point Pattern Spatial Point Pattern Population Pattern Interpoint Distance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Department of GeographyUniversity of IllinoisUrbana-ChampaignILUSA

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