1,433
Views
73
CrossRef citations to date
0
Altmetric
Methods, Models, and GIS

Using High-Resolution Population Data to Identify Neighborhoods and Establish Their Boundaries

&
Pages 67-84 | Received 01 Jan 2011, Accepted 01 Sep 2011, Published online: 20 Jun 2012
 

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.

Los barrios o vecindarios tienen que ver con el territorio local, pero ¿de qué territorio se trata? En este artículo se presenta un enfoque sobre esta cuestión por medio de una novedosa aplicación de estadísticas espaciales “locales”. Nosotros conceptualizamos un vecindario en términos tanto de espacio como de composición social; se trata de un territorio contiguo definido por un paquete de atributos sociales que lo distinguen de las áreas circundantes. Para definir un vecindario, nuestro método no impone una característica social específica ni una escala espacial predeterminada. Mejor que eso, a los vecindarios los inferimos a partir de la información detallada sobre residentes individuales y sus localizaciones. El análisis se basa en cuentas completas de datos censales georreferenciados de finales del siglo XIX en cuatro ciudades: Albany, en Nueva York; Buffalo, Nueva York; Cincinnati, Ohio; y Newark, Nueva Jersey. Encontramos notables regularidades (y algunas anomalías) en la estructura espacial de las ciudades estudiadas. Nuestro enfoque ilustra la “espacialización” de un importante concepto científico social.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 312.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.