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.
Getis, Arthur (1983). Second-order analysis of point patterns: the case of Chicago as a multi-center urban region, The Professional Geographer, 35, 73–80, reprinted with permission.
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Getis, A. (2010). Second-Order Analysis of Point Patterns: The Case of Chicago as a Multi-center Urban Region. In: Anselin, L., Rey, S. (eds) Perspectives on Spatial Data Analysis. Advances in Spatial Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01976-0_6
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DOI: https://doi.org/10.1007/978-3-642-01976-0_6
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