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- W2092519803 abstract "Neighborhoods are about local territory, but what territory? This article offers one approach to this question through a novel application of “local” spatial statistics. We conceptualize a neighborhood in terms of both space and social composition; it is a contiguous territory defined by a bundle of social attributes that distinguish it from surrounding areas. Our method does not impose either a specific social characteristic or a predetermined spatial scale to define a neighborhood. Rather, we infer neighborhoods from detailed information about individual residents and their locations. The analysis is based on geocoded complete-count census data from the late nineteenth century in four cities: Albany, New York; Buffalo, New York; Cincinnati, Ohio; and Newark, New Jersey. We find striking regularities (and some anomalies) in the spatial structure of the cities studied. Our approach illustrates the “spatialization” of an important social scientific concept." @default.
- W2092519803 created "2016-06-24" @default.
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- W2092519803 date "2013-01-01" @default.
- W2092519803 modified "2023-10-16" @default.
- W2092519803 title "Using High-Resolution Population Data to Identify Neighborhoods and Establish Their Boundaries" @default.
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- W2092519803 doi "https://doi.org/10.1080/00045608.2012.685049" @default.
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