ArticleScientific data2022
Dasymetric population mapping based on US census data and 30-m gridded estimates of impervious surface.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed.
- Disproportionate exposure to extreme floods in historically redlined U.S. communities.Nature communications · 2026Article
- Spatial downscaling of multivariate disease risk.International journal of health geographics · 2026Article
- Infrastructure as Environmental Health Policy: Lessons from the Clean School Bus Program's Challenges and Innovations.International journal of environmental research and public health · 2025Article
- High-resolution estimates of the US population in fluvial or coastal flood hazard areas.Scientific data · 2025Article
- Exploring the importance of environmental justice variables for predicting energy burden in the contiguous United States.iScience · 2025Article
- A dataset of US precinct votes allocated to Census geographies with precision.Scientific data · 2025Article
- Population health implications of exposure to pervasive military aircraft noise pollution.Journal of exposure science & environmental epidemiology · 2025Article
- Partition refinement of WorldPop population spatial distribution data method: A case study of Zhuhai, China.PloS one · 2024Article
- Dasymetric population mapping based on US census data and 30-m gridded estimates of impervious surface.Scientific data · 2022Article
- ClimaWATCH: A new interactive tool for community heat-health vulnerability assessments.The journal of climate change and healthArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Assessment of socio-environmental problems and the search for solutions often require intersecting geospatial data on environmental factors and human population densities. In the United States, Census data is the most common source for information on population. However, timely acquisition of such data at sufficient spatial resolution can be problematic, especially in cases where the analysis area spans urban-rural gradients. With this data release, we provide a 30-m resolution population estimate for the contiguous United States. The workflow dasymetrically distributes Census block level population estimates across all non-transportation impervious surfaces within each Census block. The methodology is updatable using the most recent Census data and remote sensing-based observations of impervious surface area. The dataset, known as the U.G.L.I (updatable gridded lightweight impervious) population dataset, compares favorably against other population data sources, and provides a useful balance between resolution and complexity.
Identifiers
What OpenQuestion holds
Registered trials
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.