Evaluating the extrapolation potential of random forest digital soil mapping

Evaluating the extrapolation potential of random forest digital soil mapping

Spatial soil information is essential for informed decision-making in a wide range of fields. Digital soil mapping (DSM) using machine learning algorithms has become a popular approach for generating soil maps. DSM capitalises on the relation between environmental variables (i.e., features) and a so...

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Bibliographic Details
Main Authors: Fatemeh Hateffard, Luc Steinbuch, Gerard B.M. Heuvelink
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Geoderma
Subjects:
Spatial soil information
Extrapolation effects
Prediction accuracy
Similarities
Online Access:http://www.sciencedirect.com/science/article/pii/S0016706123004172

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http://www.sciencedirect.com/science/article/pii/S0016706123004172

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