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A high-resolution population grid map for Europe

Author

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  • Filipe Batista e Silva
  • Javier Gallego
  • Carlo Lavalle

Abstract

Population figures are usually collected by national statistical institutes at small enumeration units (e.g. census tracts or building units). However, still for many countries in Europe, data are distributed at coarser geographical units like municipalities. This level of resolution is insufficient for analysis in many fields. In addition, the heterogeneity of the size of the geographical units causes great distortions in analysis, i.e. the Modifiable Areal Unit Problem (MAUP). Dasymetric mapping techniques have long been applied world-wide to derive finer (and MAUP-free) depictions of the population distribution. These techniques disaggregate population figures reported at coarse source zones into a finer set of zones using ancillary geographical data. Previous attempts to map the European population at high resolution have used CORINE Land Cover (CLC) as the main source of ancillary data. In this article, we test new geographical datasets to produce an updated and improved European population grid map. It is tested whether using more detailed ancillary data in the dasymetric mapping significantly yields higher accuracies. As final outcome of this cartographic exercise, a European population grid map for the reference year of 2006, with a spatial resolution of 100 × 100 meters, is presented and validated against reference data. Resident population reported at commune level, a refined version of CLC and information on the soil sealing degree are used as the main inputs to produce the final map.

Suggested Citation

  • Filipe Batista e Silva & Javier Gallego & Carlo Lavalle, 2013. "A high-resolution population grid map for Europe," Journal of Maps, Taylor & Francis Journals, vol. 9(1), pages 16-28, March.
  • Handle: RePEc:taf:tjomxx:v:9:y:2013:i:1:p:16-28
    DOI: 10.1080/17445647.2013.764830
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    Cited by:

    1. Taïs Grippa & Catherine Linard & Moritz Lennert & Stefanos Georganos & Nicholus Mboga & Sabine Vanhuysse & Assane Gadiaga & Eléonore Wolff, 2019. "Improving Urban Population Distribution Models with Very-High Resolution Satellite Information," Data, MDPI, vol. 4(1), pages 1-17, January.
    2. Natale, Fabrizio & Carvalho, Natacha & Harrop, Michael & Guillen, Jordi & Frangoudes, Katia, 2013. "Identifying fisheries dependent communities in EU coastal areas," Marine Policy, Elsevier, vol. 42(C), pages 245-252.
    3. Nannan Gao & Fen Li & Hui Zeng & Daniël van Bilsen & Martin De Jong, 2019. "Can More Accurate Night-Time Remote Sensing Data Simulate a More Detailed Population Distribution?," Sustainability, MDPI, vol. 11(16), pages 1-15, August.
    4. Karabulut, Armağan & Egoh, Benis N. & Lanzanova, Denis & Grizzetti, Bruna & Bidoglio, Giovanni & Pagliero, Liliana & Bouraoui, Fayçal & Aloe, Alberto & Reynaud, Arnaud & Maes, Joachim & Vandecasteel, 2016. "Mapping water provisioning services to support the ecosystem–water–food–energy nexus in the Danube river basin," Ecosystem Services, Elsevier, vol. 17(C), pages 278-292.
    5. Vaz, Eric & Campos, Ana Claudia, 2013. "A Multi-Dasymetric Mapping Approach for Tourism," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 1(4), pages 265-277.
    6. Yanhui Wang & Jianchen Zhang, 2018. "Integrating BP and MGWR-SL Model to Estimate Village-Level Poor Population: An Experimental Study from Qianjiang, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(2), pages 639-663, July.
    7. Simon Gosling & Jamal Zaherpour & Dolores Ibarreta, 2018. "PESETA III: Climate change impacts on labour productivity," JRC Research Reports JRC113740, Joint Research Centre.
    8. Filipe Batista e Silva & Hugo Poelman, 2016. "Mapping population density in Functional Urban Areas - A method to downscale population statistics to Urban Atlas polygons," JRC Research Reports JRC103756, Joint Research Centre.
    9. repec:ris:cieodp:2013_022 is not listed on IDEAS
    10. Juste Raimbault, 2018. "Calibration of a density-based model of urban morphogenesis," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-18, September.
    11. Pinar Korkmaz & Roland Cunha Montenegro & Dorothea Schmid & Markus Blesl & Ulrich Fahl, 2020. "On the Way to a Sustainable European Energy System: Setting Up an Integrated Assessment Toolbox with TIMES PanEU as the Key Component," Energies, MDPI, vol. 13(3), pages 1-36, February.
    12. Chris Jacobs-Crisioni & Vasco Diogo & Carolina Perpina Castillo & Claudia Baranzelli & Filipe Batista e Silva & Konstantin Rosina & Boyan Kavalov & Carlo Lavalle, 2017. "The LUISA Territorial Reference Scenario 2017: A technical description," JRC Research Reports JRC108163, Joint Research Centre.
    13. Dmowska Anna, 2019. "Dasymetric modelling of population distribution – large data approach," Quaestiones Geographicae, Sciendo, vol. 38(1), pages 15-27, March.
    14. Sebastian Eichhorn, 2020. "Disaggregating Population Data and Evaluating the Accuracy of Modeled High-Resolution Population Distribution—The Case Study of Germany," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    15. CISCAR MARTINEZ Juan Carlos & FEYEN Luc & SORIA RAMIREZ Antonio & LAVALLE Carlo & PERRY Miles & RAES Frank & NEMRY Francoise & DEMIREL Hande & RÓZSAI Máté & DOSIO Alessandro & DONATELLI Marcello & SRI, 2014. "Climate Impacts in Europe. The JRC PESETA II Project," JRC Research Reports JRC87011, Joint Research Centre.
      • Ciscar, Juan-Carlos & Feyen, Luc & Soria, Antonio & Lavalle, Carlo & Raes, Frank & Perry, Miles & Nemry, Françoise & Demirel, Hande & Rozsai, Máté & Dosio, Alessandro & Donatelli, Marcello & Srivastav, 2014. "Climate Impacts in Europe - The JRC PESETA II Project," MPRA Paper 55725, University Library of Munich, Germany.
    16. Jan-Ludolf Merkens & Athanasios T. Vafeidis, 2018. "Using Information on Settlement Patterns to Improve the Spatial Distribution of Population in Coastal Impact Assessments," Sustainability, MDPI, vol. 10(9), pages 1-19, September.
    17. Perpiña Castillo, Carolina & Batista e Silva, Filipe & Lavalle, Carlo, 2016. "An assessment of the regional potential for solar power generation in EU-28," Energy Policy, Elsevier, vol. 88(C), pages 86-99.
    18. Bojana Horvat & Nino Krvavica, 2023. "Disaggregation of the Copernicus Land Use/Land Cover (LULC) and Population Density Data to Fit Mesoscale Flood Risk Assessment Requirements in Partially Urbanized Catchments in Croatia," Land, MDPI, vol. 12(11), pages 1-22, November.
    19. Schägner, Jan Philipp & Brander, Luke & Paracchini, Maria Luisa & Maes, Joachim & Gollnow, Florian & Bertzky, Bastian, 2018. "Spatial dimensions of recreational ecosystem service values: A review of meta-analyses and a combination of meta-analytic value-transfer and GIS," Ecosystem Services, Elsevier, vol. 31(PC), pages 395-409.
    20. Eda Ustaoglu & Mustafa Erdem Kabadayı, 2021. "Reconstruction of Residential Land Cover and Spatial Analysis of Population in Bursa Region (Turkey) in the Mid-Nineteenth Century," Land, MDPI, vol. 10(10), pages 1-34, October.
    21. Jean-Philippe Aurambout & Ricardo Barranco & Carlo Lavalle, 2018. "Towards a Simpler Characterization of Urban Sprawl across Urban Areas in Europe," Land, MDPI, vol. 7(1), pages 1-18, March.

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