Prediction of soil texture using descriptive statistics and area-to-point kriging in Region Centre (France)
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- 作者：Mercedes Romá ; n Dobarcoa ; 1 ; mercedes.romandobarco@orleans.inra.fr" class="auth_mail" title="E-mail the corresponding author ; Thomas G. Ortonb ; 1 ; Thomas.orton@sydney.edu.au" class="auth_mail" title="E-mail the corresponding author ; Dominique Arrouaysa ; Dominique.Arrouays@orleans.inra.fr" class="auth_mail" title="E-mail the corresponding author ; Blandine Lemercierc ; d ; e ; Blandine.Lemercier@agrocampus-ouest.fr" class="auth_mail" title="E-mail the corresponding author ; Jean-Baptiste Paroissiena ; jeanbaptiste.paroissien@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Christian Walterc ; d ; e ; christian.walter@agrocampus-ouest.fr" class="auth_mail" title="E-mail the corresponding author ; Nicolas P.A. Sabya ; nicolas.saby@orleans.inra.fr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Area-to-point kriging ; Area-to-point cokriging ; Area-to-point regression cokriging ; Topsoil texture ; Disaggregation ; French soil test database ; REML
- 刊名：Geoderma Regional
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：7
- 期：3
- 页码：279-292
- 全文大小：2256 K
文摘
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We compared three methods for disaggregating areal topsoil texture data.
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Predictions were better for sand and silt (~ R2 = 0.7) than for clay (~ R2 = 0.4).
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Boosted regression tree models showed the greatest bias [(−) clay, sand, (+) silt].
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Area-to-point (AToP) cokriging and regression cokriging assessed uncertainty well.
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AToP regression cokriging was the best disaggregation method in terms of accuracy.
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