Prediction of Topsoil Texture Through Regression Trees and Multiple Linear Regressions

ABSTRACT: Users of soil survey products are mostly interested in understanding how soil properties vary in space and time. The aim of digital soil mapping (DSM) is to represent the spatial variability of soil properties quantitatively to support decision-making. The goal of this study is to evaluate...

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Xehetasun bibliografikoak
Egile Nagusiak:	Helena Saraiva Koenow Pinheiro, Waldir de Carvalho Junior, César da Silva Chagas, Lúcia Helena Cunha dos Anjos, Phillip Ray Owens
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Sociedade Brasileira de Ciência do Solo 2018-04-01
Saila:	Revista Brasileira de Ciência do Solo
Gaiak:	terrain attributes soil depth functions digital soil mapping regression models
Sarrera elektronikoa:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100304&lng=en&tlng=en
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Prediction of Topsoil Texture Through Regression Trees and Multiple Linear Regressions

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