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

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https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41467-022-29838-9;h=repec:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29838-9
Time Added
4/24/2022, 6:28:13 PM
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Machine Learning
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Authors
Hanna Meyer and Edzer Pebesma 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.
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Year Published
2022
Series
Nature Communications 2022 vol. 13 issue 1 1-4
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