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Gridded Population Maps Informed by Different Built Settlement Products

Author

Listed:
  • Fennis J. Reed

    (Geography and Geosciences, University of Louisville, Louisville, KY 40292, USA)

  • Andrea E. Gaughan

    (Geography and Geosciences, University of Louisville, Louisville, KY 40292, USA)

  • Forrest R. Stevens

    (Geography and Geosciences, University of Louisville, Louisville, KY 40292, USA)

  • Greg Yetman

    (CIESIN, Columbia University, Palisades, NY 10964, USA)

  • Alessandro Sorichetta

    (WorldPop, Department Geography and Environment, University of Southampton, Southampton SO17 1B, UK)

  • Andrew J. Tatem

    (WorldPop, Department Geography and Environment, University of Southampton, Southampton SO17 1B, UK
    Flowminder Foundation, SE-11355 Stockholm, Sweden)

Abstract

The spatial distribution of humans on the earth is critical knowledge that informs many disciplines and is available in a spatially explicit manner through gridded population techniques. While many approaches exist to produce specialized gridded population maps, little has been done to explore how remotely sensed, built-area datasets might be used to dasymetrically constrain these estimates. This study presents the effectiveness of three different high-resolution built area datasets for producing gridded population estimates through the dasymetric disaggregation of census counts in Haiti, Malawi, Madagascar, Nepal, Rwanda, and Thailand. Modeling techniques include a binary dasymetric redistribution, a random forest with a dasymetric component, and a hybrid of the previous two. The relative merits of these approaches and the data are discussed with regards to studying human populations and related spatially explicit phenomena. Results showed that the accuracy of random forest and hybrid models was comparable in five of six countries.

Suggested Citation

  • Fennis J. Reed & Andrea E. Gaughan & Forrest R. Stevens & Greg Yetman & Alessandro Sorichetta & Andrew J. Tatem, 2018. "Gridded Population Maps Informed by Different Built Settlement Products," Data, MDPI, vol. 3(3), pages 1-11, September.
    • Handle: RePEc:gam:jdataj:v:3:y:2018:i:3:p:33-:d:167754
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    References listed on IDEAS

    as
    1. Catherine Linard & Marius Gilbert & Robert W Snow & Abdisalan M Noor & Andrew J Tatem, 2012. "Population Distribution, Settlement Patterns and Accessibility across Africa in 2010," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-8, February.
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    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. Chao Yang & Huizeng Liu & Qingquan Li & Xuqing Wang & Wei Ma & Cuiling Liu & Xu Fang & Yuzhi Tang & Tiezhu Shi & Qibiao Wang & Yue Xu & Jie Zhang & Xuecao Li & Gang Xu & Junyi Chen & Mo Su & Shuying W, 2022. "Human expansion into Asian highlands in the 21st Century and its effects," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    3. Simone Fiori & Andrea Vitali, 2019. "Statistical Modeling of Trivariate Static Systems: Isotonic Models," Data, MDPI, vol. 4(1), pages 1-29, January.

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