After 5 years from conception to publication, 1 research project at @EU_ScienceHub, 3 teams, 9 colleagues, millions of data records, 2 tough rounds of revision, I finally see this paper published at @NatureComms!

Science is hard, but then it pays off! https://www.nature.com/articles/s41467-020-18344-5
Now the content: A novel assessment of population distribution for Europe at 1x1 km resolution, taking into account intra-day and seasonal population variations due to mobility. Privacy-concerned approach, using fusion of mostly open statistical and #geospatial #bigdata.
Insights based on the analysis of 34 cities in Europe > 1 million inhabitants:

#1 On average, the city centres contain 1.9 times more population during the daytime than nighttime.
#2 Daytime population outweighs nighttime population within the city extents. The average day-to-nighttime ratio for sampled cities=1.097. Highest ratios in Budapest, Warsaw (1.31-1.32) and Brussels (1.24). Lowest in Madrid, Barcelona, Valencia, Athens and Stockholm (0.94-0.99).
#3 Both daytime and nighttime population densities are highest at or nearby the city center and then decay with increasing distance from the city center, fairly well described with a negative (inverse) power law function.
#4 Based on yearly averages for the sampled cities, the composition of the daytime population is 48.9% employees (σ = 7.0%), 22.7% students (σ = 3.0%) and 1.2% tourists (σ = 0.7%). The reminder 27.2% of the population correspond to the non-working and non-studying residents.
#5 Due to tourist flows, present population in many touristic destinations can more than double in August in comparison with the present population January. This is especially common in seaside or lake front destinations throughout Europe.
And how could I forget @RPanczak, with whom I exchanged some nice ideas on temporary populations, here on twitter.
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