Validation of spatially allocated small area estimates for 1880 Census demography
Bibliographic Data
| ID | 2636756 |
|---|---|
| Authors | Matt Ruther (0000-0002-1375-2792, University of Colorado Boulder, corresponding author), Galen Maclaurin (0000-0001-7491-1614, University of Colorado Boulder), Stefan Leyk (0000-0001-9180-4853, University of Colorado Boulder), Barbara Buttenfield (0000-0001-5961-5809, University of Colorado Boulder), Nicholas N Nagle (0000-0002-3721-8148, University of Tennessee at Knoxville), Nicholas Nagle |
| Year | 2013 |
| Volume | 29 |
| Pages | 579-616 |
| Publication date | 2013-09-26 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Demographic Research (JOURNAL) |
| Journal identifiers | ISSN: 1435-9871 • E-ISSN: 2363-7064 |
| Publisher | Max Planck Institute for Demographic Research (PUBLISHER • DE) |
| DOI | 10.4054/demres.2013.29.22 |
| OpenAlex | W2152362961 |
| Language | EN |
| Citations received | 4 |
| References cited | 19 |
This paper details the validation of a methodology which spatially allocates Census microdata to census tracts, based on known, aggregate tract population distributions. To protect confidentiality, public-use microdata contain no spatial identifiers other
Aggregate data · American Community Survey · Census · Census tract · Computer security · Confidentiality · Demographic analysis · Geography · Identifier · Political science · Population · Population statistics · Public use · Sociology · Statistics · Computer Science · demographic modeling and climate adaptation · Demography · Insurance, Mortality, Demography, Risk Management · Mathematics · Migration, Aging, and Tourism Studies
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Principal Component Analysis on Spatial Data
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| Unique citing works | 4 |
|---|---|
| Citations per year | 0.36 |
| Citation span | 2015 - 2023 (9) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 4 |