Using Public Data to Improve Population Estimates Within Consistent Boundaries
Bibliographic Data
| ID | 21373587 |
|---|---|
| Authors | J R Logan (0000-0001-8641-4826, Brown University, corresponding author), Wenquan Zhang (0000-0001-7196-8367, University of Wisconsin, USA), Zengwang Xu (0000-0002-4304-966X, University of Wisconsin, USA) |
| Year | 2024 |
| Volume | 76 |
| Issue | 3 |
| Pages | 398-407 |
| Publication date | 2024-05-03 |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Professional Geographer (JOURNAL) |
| Journal identifiers | ISSN: 0033-0124 • E-ISSN: 1467-9272 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00330124.2024.2306645 |
| PMID | 39399122 |
| OpenAlex | W4392383635 |
| Language | EN |
| Citations received | 2 |
| References cited | 10 |
Studies of neighborhood change rely on interpolated data to cope with inconsistent boundaries of geographic units over time. The standard approach introduces error by assuming, counterfactually, that all kinds of people are distributed in the same manner within tracts as the whole population. This study evaluates estimates of 2000 neighborhood characteristics using 2010 boundaries in the Longitudinal Tract Data Base (LTDB) that uses the standard approach, and an alternative trait-based (TB) method that uses additional small area data to account for spatial heterogeneity. Both are compared to the true (but confidential) original census data. For variables that are available from full-count census data at the block level (including race, age, and some housing characteristics), the TB estimates are much better than the LTDB estimates. However, the same general approach is ineffective when the small area data are subject to sampling variability and published with less spatial granularity
Block (permutation group theory) · Boundary (topology) · Cartography · Census · Data mining · Econometrics · Estimator · Geography · Granularity · Population · Sampling (signal processing) · Small area estimation · Statistics · Computer Science · Demography · Impact of Light on Environment and Health · Mathematics · Urban Transport and Accessibility · Urban, Neighborhood, and Segregation Studies
Interpolating U.S. Decennial Census Tract Data from as Early as 1970 to 2010
Smooth Pycnophylactic Interpolation for Geographical Regions
Improving estimates of neighborhood change with constant tract boundaries
Mapping Population Data from Zone Centroid Locations
The Generation of Spatial Population Distributions from Census Centroid Data
A Framework for the Areal Interpolation of Socioeconomic Data
Street-Weighted Interpolation Techniques for Demographic Count Estimation in Incompatible Zone Systems
| Citations per year | 2 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |