Comparisons of spatial and non-spatial models for predicting soil carbon content based on visible and near-infrared spectral technology
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- 作者：Long Guoa ; Chang Zhaob ; Haitao Zhanga ; zht@mail.hzau.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Yiyun Chenc ; d ; f ; M. Lindermanb ; Qing Zhanga ; Yaolin Liuc ; d ; e ; f
- 关键词：Spatial dependence ; Partial least squares regression ; Spatial models ; Visible and near-infrared diffuse reflectance spectroscopy
- 刊名：Geoderma
- 出版年：2017
- 出版时间：1 January 2017
- 年：2017
- 卷：285
- 期：Complete
- 页码：280-292
- 全文大小：1881 K
文摘
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Spatial non-stationary of SOM and VNIR were considered when using GWR.
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There were existed spatial dependence of the predicted residuals of PLSR and GWR.
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The spatial structure of model residuals can be considered by ordinary kriging.
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GWRK was advantageous when the presence of spatial structure of residuals.
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