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
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
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 Forest base learners were the most effective in pred...
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Full title
A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties
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TN_cdi_doaj_primary_oai_doaj_org_article_b876e62398984d578a78e810d775fd14
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b876e62398984d578a78e810d775fd14
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14030472
