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Uncovering temporal changes in Europe’s population density patterns using a data fusion approach
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 igno...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493994/ https://www.ncbi.nlm.nih.gov/pubmed/32934205 http://dx.doi.org/10.1038/s41467-020-18344-5 |