ArticleData2018
Gridded Population Maps Informed by Different Built Settlement Products.
Article in Data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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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.
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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
21 citing papers in PubMed.
- Long-range PMNature · 2025Article
- A global map of travel time to access veterinarians.Nature communications · 2025Article
- Comparing built-up area datasets to assess urban exposure to coastal hazards in Europe.Scientific data · 2024Article
- A simulated 'sandbox' for exploring the modifiable areal unit problem in aggregation and disaggregation.Scientific data · 2024Article
- A 31-year (1990-2020) global gridded population dataset generated by cluster analysis and statistical learning.Scientific data · 2024Article
- Article
- Estimating the burden of mycetoma in Sudan for the period 1991-2018 using a model-based geostatistical approach.PLoS neglected tropical diseases · 2022Article
- Dasymetric population mapping based on US census data and 30-m gridded estimates of impervious surface.Scientific data · 2022Article
- Human expansion into Asian highlands in the 21st Century and its effects.Nature communications · 2022Article
- Empiric recommendations for population disaggregation under different data scenarios.PloS one · 2022Article
- High-resolution gridded estimates of population sociodemographics from the 2020 census in California.PloS one · 2022Article
- Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa.Communications medicine · 2022Article
- Global Harmonization of Urbanization Measures: Proceed with Care.Remote sensing · 2021Article
- A review of geospatial methods for population estimation and their use in constructing reproductive, maternal, newborn, child and adolescent health service indicators.BMC health services research · 2021Review
- A generalizable and accessible approach to machine learning with global satellite imagery.Nature communications · 2021Article
- Population cluster data to assess the urban-rural split and electrification in Sub-Saharan Africa.Scientific data · 2021Article
- Measuring the contribution of built-settlement data to global population mapping.Social sciences & humanities open · 2021Article
- Article
- Article
- Using gridded population and quadtree sampling units to support survey sample design in low-income settings.International journal of health geographics · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The spatial distribution of humans on the earth is critical knowledge that informs many disciplines and is available in a spatially explicit manner through gridded population techniques. While many approaches exist to produce specialized gridded population maps, little has been done to explore how remotely sensed, built-area datasets might be used to dasymetrically constrain these estimates. This study presents the effectiveness of three different high-resolution built area datasets for producing gridded population estimates through the dasymetric disaggregation of census counts in Haiti, Malawi, Madagascar, Nepal, Rwanda, and Thailand. Modeling techniques include a binary dasymetric redistribution, a random forest with a dasymetric component, and a hybrid of the previous two. The relative merits of these approaches and the data are discussed with regards to studying human populations and related spatially explicit phenomena. Results showed that the accuracy of random forest and hybrid models was comparable in five of six countries.
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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.