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

Arthur Getis ()
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Arthur Getis: University of Illinois

Chapter Chapter 6 in Perspectives on Spatial Data Analysis, 2010, pp 83-92 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-3-642-01976-0_6

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