Evidence map›Paper›PMID 23279975›Full record

ArticleAnnals of the Association of American Geographers. Association of American Geographers2013

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

Seth E Spielman, John R Logan

Abstract read
In one paragraph

Article in Annals of the Association of American Geographers. Association of American Geographers, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Structure and information in spatial segregation.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Patterns and causes of uncertainty in the American Community Survey.Applied geography (Sevenoaks, England) · 2014
    Article
  18. Identifying Regions Based on Flexible User Defined Constraints.International journal of geographical information science : IJGIS · 2014
    Article
  19. Progress in Spatial Demography.Demographic research · 2013
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Seth E SpielmanUniversity of Colorado at Boulder, Department of Geography ; Brown University, Spatial Structures in the Social Sciences (S4).
John R Logan

Funding

Cincinnati Center for Clinical and Translational Sciences and TrainingUL1TR000077 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., TSEVAT, JOEL · 2012 to 2014
$9.9M
Spatial Analysis CoreR24HD041020 · NICHD · BROWN UNIVERSITY · PI FOSTER, ANDREW D. · 2001 to 2016
$7.4M
North Atlantic Population ProjectR01HD052110 · NICHD · UNIVERSITY OF MINNESOTA · PI RUGGLES, STEVE · 2006 to 2016
$4.2M
Spatial Analysis CoreR24HD041023 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI RUGGLES, STEVE · 2001 to 2016
$4.1M
Incorporating Immigrants and Minorities into Late 19th Century CitiesR01HD049493 · NICHD · BROWN UNIVERSITY · PI LOGAN, JOHN R · 2007 to 2009
$926k
NCATS NIH HHS UL1 TR000077NICHD NIH HHS R01 HD049493NICHD NIH HHS R01 HD052110NICHD NIH HHS R24 HD041020NICHD NIH HHS R24 HD041023
6 · The paper itself

Abstract

Neighborhoods are about local territory, but what territory? This paper 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 19(th) Century in four cities: Albany, NY, Buffalo, NY, Cincinnati, OH, and Newark, NJ. 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.

Identifiers

PMID23279975
PMCPMC3532850

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.