ArticleScientific data2025
LandScan Global 30 Arcsecond Annual Global Gridded Population Datasets from 2000 to 2022.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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Who cites it
15 citing papers in PubMed.
- Article
- Patterns, drivers, and trends of urban cooling demand across global cities.Nature communications · 2026Article
- Spatially heterogeneous and nonlinear factors influencing intercity patient mobility for chronic kidney disease: a nationwide study in China.npj health systems · 2026Article
- Tropical cyclone rainfall extends inland.Nature communications · 2026Article
- Dengue transmission heterogeneity across Indonesia's archipelago: Climate-driven spatiotemporal patterns and policy implications.PLoS neglected tropical diseases · 2026Article
- Global dataset on heat wave exposure due to the urban heat island effect.Scientific data · 2026Article
- Community-level education percentile rank estimation in China using multi-source big data and machine learning.Scientific data · 2026Article
- High-resolution gridded dataset of sectoral water pollution discharges in China from 2007 to 2022.Scientific data · 2026Article
- LandScan mosaic enables high-resolution gridded population estimates with explicit uncertainty.Scientific reports · 2025Article
- A 1 km datasets for urban-suburban-rural-natural continuous gradient landscapes in Southwest China.Scientific data · 2025Article
- A high-resolution global annual city and town boundaries dataset (2000-2022) derived from GLC_FCS30D product.Scientific data · 2025Article
- First- and second-order social contact network structure in southern China.Journal of the Royal Society, Interface · 2025Article
- Declining urban density attenuates rising population exposure to surface heat extremes.Scientific reports · 2025Article
- LandScan Global 30 Arcsecond Annual Global Gridded Population Datasets from 2000 to 2022.Scientific data · 2025Article
- Estimating the impacts of nonoptimal temperatures on mortality: A study in British Columbia, Canada, 2001-2021.Environmental epidemiology (Philadelphia, Pa.) · 2024Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oak Ridge National Laboratory (ORNL) annually develops the LandScan Global (LSG) dataset, a 30 arcsecond global gridded population dataset representing global ambient human population distribution. This multivariable dasymetric model disaggregates census counts within administrative boundaries using ancillary data. Each country's distribution reflects cultural and socioeconomic patterns; manual validations yield a unique global dataset for assessing populations at risk. For over two decades, LSG has been a standard for estimating populations at risk, aiding U.S. federal government, academia and humanitarian organizations. During disasters such as the 2004 Indian Ocean tsunami and the 2010 Haiti earthquake and geopolitical crises such as the Syrian civil war and the 2022 Russian invasion of Ukraine, LSG supported scientific and operational communities in emergency response and recovery. In 2022, LSG datasets from 2000 onward were made publicly available through ORNL's LandScan Portal. This data descriptor details our methodology and the application of geospatial science and machine learning to geographic and demographic data, highlighting uses in urban resiliency, emergency management, disaster response, and human health and security.
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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.