Uncovering temporal changes in Europe’s population density patterns using a data fusion approach

Official data on the distribution of human population often ignores the changing spatio-temporal densities resulting from mobility. Here, authors apply an approach combining official statistics and geospatial data to assess intraday and monthly population variations at continental scale at 1 km2 res...

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Autores principales:	Filipe Batista e Silva, Sérgio Freire, Marcello Schiavina, Konštantín Rosina, Mario Alberto Marín-Herrera, Lukasz Ziemba, Massimo Craglia, Eric Koomen, Carlo Lavalle
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/072a9ef96ab143be8bd4fbd2411ff30b
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spelling	oai:doaj.org-article:072a9ef96ab143be8bd4fbd2411ff30b2021-12-02T18:02:16ZUncovering temporal changes in Europe’s population density patterns using a data fusion approach10.1038/s41467-020-18344-52041-1723https://doaj.org/article/072a9ef96ab143be8bd4fbd2411ff30b2020-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18344-5https://doaj.org/toc/2041-1723Official data on the distribution of human population often ignores the changing spatio-temporal densities resulting from mobility. Here, authors apply an approach combining official statistics and geospatial data to assess intraday and monthly population variations at continental scale at 1 km2 resolution.Filipe Batista e SilvaSérgio FreireMarcello SchiavinaKonštantín RosinaMario Alberto Marín-HerreraLukasz ZiembaMassimo CragliaEric KoomenCarlo LavalleNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Filipe Batista e Silva Sérgio Freire Marcello Schiavina Konštantín Rosina Mario Alberto Marín-Herrera Lukasz Ziemba Massimo Craglia Eric Koomen Carlo Lavalle Uncovering temporal changes in Europe’s population density patterns using a data fusion approach
description	Official data on the distribution of human population often ignores the changing spatio-temporal densities resulting from mobility. Here, authors apply an approach combining official statistics and geospatial data to assess intraday and monthly population variations at continental scale at 1 km2 resolution.
format	article
author	Filipe Batista e Silva Sérgio Freire Marcello Schiavina Konštantín Rosina Mario Alberto Marín-Herrera Lukasz Ziemba Massimo Craglia Eric Koomen Carlo Lavalle
author_facet	Filipe Batista e Silva Sérgio Freire Marcello Schiavina Konštantín Rosina Mario Alberto Marín-Herrera Lukasz Ziemba Massimo Craglia Eric Koomen Carlo Lavalle
author_sort	Filipe Batista e Silva
title	Uncovering temporal changes in Europe’s population density patterns using a data fusion approach
title_short	Uncovering temporal changes in Europe’s population density patterns using a data fusion approach
title_full	Uncovering temporal changes in Europe’s population density patterns using a data fusion approach
title_fullStr	Uncovering temporal changes in Europe’s population density patterns using a data fusion approach
title_full_unstemmed	Uncovering temporal changes in Europe’s population density patterns using a data fusion approach
title_sort	uncovering temporal changes in europe’s population density patterns using a data fusion approach
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/072a9ef96ab143be8bd4fbd2411ff30b
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Uncovering temporal changes in Europe’s population density patterns using a data fusion approach

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