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.
CITATION STYLE
Getis, A. (2010). Second-order analysis of point patterns: The case of Chicago as a multi-center urban region. In Advances in Spatial Science (Vol. 61, pp. 83–92). Springer International Publishing. https://doi.org/10.1007/978-3-642-01976-0_6
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