A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape

Published 2015 View Full Article

Authors

Keywords

Random forests, Artificial neural networks, Support vector regression, Soil organic carbon, Digital soil mapping, Eastern Mau, Kenya

Journal

ECOLOGICAL INDICATORS

Volume 52, Issue -, Pages 394-403

Publisher

Elsevier BV

Online

2015-01-21

DOI

10.1016/j.ecolind.2014.12.028

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