A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties

A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties

This study tested and evaluated a suite of nine individual base learners and seven model averaging techniques for predicting the spatial distribution of soil properties in central Iran. Based on the nested-cross validation approach, the results showed that the artificial neural network and Random Fo...

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Bibliographic Details
Main Authors: Ruhollah Taghizadeh-Mehrjardi, Hossein Khademi, Fatemeh Khayamim, Mojtaba Zeraatpisheh, Brandon Heung, Thomas Scholten
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
spatial modeling
machine learning
remote sensing
model averaging
Online Access:https://www.mdpi.com/2072-4292/14/3/472

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