Population distribution during nighttime
Population distribution during daytime
Population dominance between nighttime (blue) and daytime (red)
These 1 km grids were produced in the frame of the ENACT project - ENhancing ACTivity and population mapping. The project aimed at producing consistent, seamless, multi-temporal, high-resolution and validated population density grids for Europe taking into account major daily and monthly variations.
Accounting for population spatiotemporal dynamics is essential for a range of applications, from disaster risk assessment to urban and regional planning, and policy support in various domains.
The following gridded data are displayed in the visualization page:
1 km grid maps representing estimated population distribution in daytime and nighttime per month (i.e. total of 24 grids), considering the presence of residents, workers per different sectors, students, and tourists, and locations of residence and activity. These grids were produced for all EU-28 countries by combining official statistical data at regional level with geospatial data from conventional and non-conventional data sources, for the reference year of 2011 (most recent round of censuses).
ENACT was an EC-JRC Exploratory Research Project involving the following units:
- JRC.B.3 Territorial Development
- JRC.E.1 Disaster Risk Management
- JRC.B.6 Digital Economy
Batista e Silva F, Marín-Herrera M, Rosina K, Barranco R, Freire S, Schiavina M (2018) Analysing spatiotemporal patterns of tourism in Europe at high-resolution with conventional and big data sources. Tourism Management 68: 101-115.
Rosina K, Batista e Silva F, Vizcaino-Martinez P, Marín-Herrera M, Freire S, Schiavina M (2018) An improved European land use/cover map derived by data integration. (4.26 MB) In: Proceedings of the AGILE Conference 2018, Lund, Sweden.
Batista e Silva F, Rosina K, Schiavina M, Marín-Herrera M, Freire S, Ziemba L, Craglia M, Lavalle C (2018) From place of residence to place of activity: towards spatiotemporal mapping of population density in Europe. (777.68 KB) In: Proceedings of the AGILE Conference 2018, Lund, Sweden.
Rosina, K., F. Batista e Silva, P. Vizcaino, M. Herrera, S. Freire & M. Schiavina (2018) Increasing the detail of European land use/cover data by combining heterogeneous data sets. International Journal of Digital Earth, DOI: 10.1080/17538947.2018.1550119
Batista e Silva, F; Freire, S; Schiavina, M; Rosina, K., Marin, M; Ziemba, L; Craglia M; Koomen, E; Lavalle, C (2020) Uncovering temporal changes in Europe’s population density patterns using a data fusion approach. Nat Commun 11, 4631. https://doi.org/10.1038/s41467-020-18344-5