IDEAS home Printed from https://ideas.repec.org/a/vrs/quageo/v38y2019i1p15-27n8.html
   My bibliography  Save this article

Dasymetric Modelling of Population Distribution – Large Data Approach

Author

Listed:
  • Dmowska Anna

    (Department of Geoinformation, Institute of Geoecology and Geoinformation, Adam Mickiewicz University in Poznań, Poland)

Abstract

Existing resources of population data, provided by national censuses in the form of areal aggregates, have usually insufficient resolution for many practical applications. Dasymetric modelling has been a standard technique to disaggregate census aggregates into finer grids. Although dasymetric modelling of population distribution is well-established, most literature focuses on proposing new variants of the technique, while only few are devoted to developing broad-scale population grids that could be used for real-life applications. This paper reviews literature on construction of broad-scale population grids using dasymetric modelling. It also describes an R implementation of fully automated framework to calculate such grids from aggregated data provided by national censuses. The presented implementation has been used to produce high resolution, multi-year comparable, U.S.-wide population datasets that are the part of the SocScape (Social Landscape) project.

Suggested Citation

  • Dmowska Anna, 2019. "Dasymetric Modelling of Population Distribution – Large Data Approach," Quaestiones Geographicae, Sciendo, vol. 38(1), pages 15-27, March.
    • Handle: RePEc:vrs:quageo:v:38:y:2019:i:1:p:15-27:n:8
    DOI: 10.2478/quageo-2019-0008
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/quageo-2019-0008
    Download Restriction: no
    File URL: https://libkey.io/10.2478/quageo-2019-0008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Andrea E Gaughan & Forrest R Stevens & Catherine Linard & Peng Jia & Andrew J Tatem, 2013. "High Resolution Population Distribution Maps for Southeast Asia in 2010 and 2015," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-11, February.
    2. M F Goodchild & L Anselin & U Deichmann, 1993. "A Framework for the Areal Interpolation of Socioeconomic Data," Environment and Planning A, , vol. 25(3), pages 383-397, March.
    3. 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.
    4. Flowerdew, Robin & Green, Mick, 1992. "Developments in Areal Interpolation Methods and GIS," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 26(1), pages 67-78, April.
    5. Andrew J Tatem & Abdisalan M Noor & Craig von Hagen & Antonio Di Gregorio & Simon I Hay, 2007. "High Resolution Population Maps for Low Income Nations: Combining Land Cover and Census in East Africa," PLOS ONE, Public Library of Science, vol. 2(12), pages 1-8, December.
    6. Michael Reibel & Michael E Bufalino, 2005. "Street-Weighted Interpolation Techniques for Demographic Count Estimation in Incompatible Zone Systems," Environment and Planning A, , vol. 37(1), pages 127-139, January.
    7. Philip Berke & Galen Newman & Jaekyung Lee & Tabitha Combs & Carl Kolosna & David Salvesen, 2015. "Evaluation of Networks of Plans and Vulnerability to Hazards and Climate Change: A Resilience Scorecard," Journal of the American Planning Association, Taylor & Francis Journals, vol. 81(4), pages 287-302, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Zhongqiang Bai & Juanle Wang & Mingming Wang & Mengxu Gao & Jiulin Sun, 2018. "Accuracy Assessment of Multi-Source Gridded Population Distribution Datasets in China," Sustainability, MDPI, vol. 10(5), pages 1-15, April.
    4. 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.
    5. Eva‐Maria Egger & Aslihan Arslan & Emanuele Zucchini, 2022. "Does connectivity reduce gender gaps in off‐farm employment? Evidence from 12 low‐ and middle‐income countries," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 197-218, March.
    6. 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.
    7. Michael Reibel & Aditya Agrawal, 2007. "Areal Interpolation of Population Counts Using Pre-classified Land Cover Data," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(5), pages 619-633, December.
    8. Jidong Wu & Ying Li & Ning Li & Peijun Shi, 2018. "Development of an Asset Value Map for Disaster Risk Assessment in China by Spatial Disaggregation Using Ancillary Remote Sensing Data," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 17-30, January.
    9. Aparna Kumari & Tim G. Frazier, 2021. "Evaluating social capital in emergency and disaster management and hazards plans," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 949-973, October.
    10. Karthik Balasubramanian & David F. Drake, 2015. "Service Quality, Inventory and Competition: An Empirical Analysis of Mobile Money Agents in Africa," Harvard Business School Working Papers 15-059, Harvard Business School, revised Oct 2015.
    11. Qingchun Li & Shangjia Dong & Ali Mostafavi, 2019. "Modeling of inter-organizational coordination dynamics in resilience planning of infrastructure systems: A multilayer network simulation framework," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-21, November.
    12. Jack Baker & Adelamar Alcantara & Xiaomin Ruan & Kendra Watkins & Srini Vasan, 2013. "A Comparative Evaluation of Error and Bias in Census Tract-Level Age/Sex-Specific Population Estimates: Component I (Net-Migration) vs Component III (Hamilton–Perry)," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(6), pages 919-942, December.
    13. Kiatkulchai Jitt-Aer & Graham Wall & Dylan Jones & Richard Teeuw, 2022. "Use of GIS and dasymetric mapping for estimating tsunami-affected population to facilitate humanitarian relief logistics: a case study from Phuket, Thailand," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(1), pages 185-211, August.
    14. 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.
    15. Malecha, Matthew L. & Brand, A.D. & Berke, Philip R., 2018. "Spatially evaluating a network of plans and flood vulnerability using a Plan Integration for Resilience Scorecard: A case study in Feijenoord District, Rotterdam, the Netherlands," Land Use Policy, Elsevier, vol. 78(C), pages 147-157.
    16. Bijak Jakub & Bryant Johan & Gołata Elżbieta & Smallwood Steve, 2021. "Preface," Journal of Official Statistics, Sciendo, vol. 37(3), pages 533-541, September.
    17. Paolo Postiglione & Alfredo Cartone & Domenica Panzera, 2020. "Economic Convergence in EU NUTS 3 Regions: A Spatial Econometric Perspective," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    18. Danny van Steijn & Juan José Pons Izquierdo & Eduardo Garralda Domezain & Miguel Antonio Sánchez-Cárdenas & Carlos Centeno Cortés, 2021. "Population’s Potential Accessibility to Specialized Palliative Care Services: A Comparative Study in Three European Countries," IJERPH, MDPI, vol. 18(19), pages 1-14, September.
    19. Nan Xu & Jiancheng Luo & Jin Zuo & Xiaodong Hu & Jing Dong & Tianjun Wu & Songliang Wu & Hao Liu, 2020. "Accurate Suitability Evaluation of Large-Scale Roof Greening Based on RS and GIS Methods," Sustainability, MDPI, vol. 12(11), pages 1-23, May.
    20. Jing Yao & Alan T. Murray, 2014. "Serving regional demand in facility location," Papers in Regional Science, Wiley Blackwell, vol. 93(3), pages 643-662, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:quageo:v:38:y:2019:i:1:p:15-27:n:8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.