An assessment of model averaging to improve predictive power of portable vis-NIR and XRF for the determination of agronomic soil properties
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- 作者：S.M. O'Rourkea ; b ; sharon.orourke@ucd.ie" class="auth_mail" title="E-mail the corresponding author ; U. Stockmannb ; uta.stockmann@sydney.edu.au" class="auth_mail" title="E-mail the corresponding author ; N.M. Holdena ; Nick.Holden@ucd.ie" class="auth_mail" title="E-mail the corresponding author ; A.B. McBratneyb ; Alex.McBratney@sydney.edu.au" class="auth_mail" title="E-mail the corresponding author ; B. Minasnyb ; Budiman.Minasny@sydney.edu.au" class="auth_mail" title="E-mail the corresponding author
- 关键词：visible near-infrared spectroscopy ; portable X-ray fluorescence spectroscopy ; XRF spectra ; model averaging techniques ; Granger-Ramanathan averaging
- 刊名：Geoderma
- 出版年：2016
- 出版时间：1 October 2016
- 年：2016
- 卷：279
- 期：Complete
- 页码：31-44
- 全文大小：1030 K
文摘
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Model averaging proposed to increase predictive power of portable spectral devices.
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An improvement of between 4 and 44% in RMSE was achieved by model averaging.
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Model averaging was found to be suitable for a range of soil properties.
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The Granger-Ramanathan model averaging technique is recommended as protocol.
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Prediction of other soil properties from XRF elemental concentrations is limited.