ArticleNature communications2020
Uncovering temporal changes in Europe's population density patterns using a data fusion approach.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Human mobility acts as a lever for decarbonising wastewater treatment plants.Environmental science and ecotechnology · 2026Article
- Large cities lose their growth advantage as countries urbanize.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Dynamic roughening of cities driven by multiplicative noise.Nature communications · 2026Article
- The spatiotemporal scaling laws of urban population dynamics.Nature communications · 2025Article
- Exploring the relationship between daytime and nighttime mobility and park visitation: A case study of Austin, TX.Environment and planning. B, urban analytics and city science · 2025Article
- Article
- Unraveling near real-time spatial dynamics of population using geographical ensemble learning.International journal of applied earth observation and geoinformation : ITC journal · 2024Article
- The angiogenic growth of cities.Journal of the Royal Society, Interface · 2024Article
- A 31-year (1990-2020) global gridded population dataset generated by cluster analysis and statistical learning.Scientific data · 2024Article
- Article
- Economic valuation of temperature-related mortality attributed to urban heat islands in European cities.Nature communications · 2023Article
- Integrated Spatial Simulation of Population and Urban Land Use: a Pan-European Model Validation.Applied spatial analysis and policy · 2023Article
- High-resolution estimates of social distancing feasibility, mapped for urban areas in sub-Saharan Africa.Scientific data · 2022Article
- Fine-scale population spatialization data of China in 2018 based on real location-based big data.Scientific data · 2022Article
- Mapping urban physical distancing constraints, sub-Saharan Africa: a case study from Kenya.Bulletin of the World Health Organization · 2022Article
- A Holistic and Interoperable Approach towards the Implementation of Services for the Digital Transformation of Smart Cities: The Case of Vitoria-Gasteiz (Spain).Sensors (Basel, Switzerland) · 2021Article
- Surveillance and prevalence of antimicrobial resistant bacteria from public settings within urban built environments: Challenges and opportunities for hygiene and infection control.Environment international · 2021Review
- Population cluster data to assess the urban-rural split and electrification in Sub-Saharan Africa.Scientific data · 2021Article
- A gridded establishment dataset as a proxy for economic activity in China.Scientific data · 2021Article
- A data fusion approach to the estimation of temporary populations: An application to Australia.PloS one · 2021Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The knowledge of the spatial and temporal distribution of human population is vital for the study of cities, disaster risk management or planning of infrastructure. However, information on the distribution of population is often based on place-of-residence statistics from official sources, thus ignoring the changing population densities resulting from human mobility. Existing assessments of spatio-temporal population are limited in their detail and geographical coverage, and the promising mobile-phone records are hindered by issues concerning availability and consistency. Here, we present a multi-layered dasymetric approach that combines official statistics with geospatial data from emerging sources to produce and validate a European Union-wide dataset of population grids taking into account intraday and monthly population variations at 1 km
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