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Machine learning-based global maps of ecological variables and the challenge of assessing them

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  • Hanna Meyer

    (Westfälische Wilhelms-Universität Münster)

  • Edzer Pebesma

    (Westfälische Wilhelms-Universität Münster)

Abstract

The recent wave of published global maps of ecological variables has caused as much excitement as it has received criticism. Here we look into the data and methods mostly used for creating these maps, and discuss whether the quality of predicted values can be assessed, globally and locally.

Suggested Citation

  • Hanna Meyer & Edzer Pebesma, 2022. "Machine learning-based global maps of ecological variables and the challenge of assessing them," Nature Communications, Nature, vol. 13(1), pages 1-4, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29838-9
    DOI: 10.1038/s41467-022-29838-9
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