The Measurement of Spatial Segregation
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
The index of dissimilarity has come to be the principal statistic for measuring segregation, particularly urban residential segregation by race. Recently, though, a literature has arisen which criticizes the dissimilarity index and proposes revisions or alternative statistics. Here a statistic is derived that explicitly incorporates the spatial relationships among the geographic parcels into the tabulation, a feature absent from the dissimilarity index and its competitors. This proximity statistic is compared with other indices and is found to be somewhat successful in distinguishing between single-cluster and multiple-cluster residential settlement patterns.
