Abstract
Segregated areas may occur around an attractive park or a waste incinerator, but the magnitude and group membership of the people in closest proximity will likely be difierent. We therefore introduce a local segregation measure that can be applied to any location within a metropolitan area, and that can identify the group that is relatively more concentrated around that reference location. We further introduce an inference approach to identify the statistical significance of a particular segregation value. In an exploratory setting the index can be used to generate a map of hot spots, and seed the question: “why is this group significantly concentrated around that location?”.
Original language | English (US) |
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Pages (from-to) | 555-576 |
Number of pages | 22 |
Journal | Papers in Regional Science |
Volume | 95 |
Issue number | 3 |
DOIs | |
State | Published - Aug 1 2016 |
Externally published | Yes |
Keywords
- Local segregation
- centralization
- spatial segregation
ASJC Scopus subject areas
- Geography, Planning and Development
- Environmental Science (miscellaneous)