Knowledge of population distribution is crucial for various applications. However, existing assessments are limited. This study presents a multi-layered dasymetric approach combining official statistics with geospatial data to produce a European Union-wide dataset of population grids at 1 km² resolution, accounting for intraday and monthly variations. Results quantify spatio-temporal population density in large European cities, estimating daytime population in city centers to be 1.9 times higher than nighttime population.
Publisher
Nature Communications
Published On
Sep 15, 2020
Authors
Filipe Batista e Silva, Sérgio Freire, Marcello Schiavina, Konštantín Rosina, Mario Alberto Marín-Herrera, Lukasz Ziemba, Massimo Craglia, Eric Koomen, Carlo Lavalle
Tags
population distribution
dasymetric approach
geospatial data
population density
European cities
temporal variations
dataset
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