A high resolution map of soil types and physical properties for Cyprus: A digital soil mapping optimization
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- 作者：Corrado Cameraa ; c.camera@cyi.ac.cy" class="auth_mail" title="E-mail the corresponding author ; Zomenia Zomenib ; Jay S. Nollerc ; Andreas M. Zissimosb ; Irene C. Christoforoub ; Adriana Bruggemana
- 关键词：Cyprus ; Digital soil mapping ; Model optimization ; Random Forest ; Soil landscape model ; World Reference Base
- 刊名：Geoderma
- 出版年：2017
- 出版时间：1 January 2017
- 年：2017
- 卷：285
- 期：Complete
- 页码：35-49
- 全文大小：2918 K
文摘
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We created a digital soil map of Cyprus (1:25,000) using Random Forest.
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We developed a reliability index to qualitatively show prediction uncertainties.
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The model showed greater sensitivity to the number of input points than trees grown.
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Soil geochemistry predictors had a prevalent role in identifying soil properties.