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Provedor de dados:  REA
País:  Brazil
Título:  Comparison of maps of spatial variability of soil resistance to penetration constructed with and without covariables using a spatial linear model
Autores:  Bastiani,Fernanda de
Uribe-Opazo,Miguel A.
Dalposso,Gustavo H.
Data:  2012-04-01
Ano:  2012
Palavras-chave:  Geostatistics
Maximum likelihood
Error matrix
Resumo:  A study about the spatial variability of data of soil resistance to penetration (RSP) was conducted at layers 0.0-0.1 m, 0.1-0.2 m and 0.2-0.3 m depth, using the statistical methods in univariate forms, i.e., using traditional geostatistics, forming thematic maps by ordinary kriging for each layer of the study. It was analyzed the RSP in layer 0.2-0.3 m depth through a spatial linear model (SLM), which considered the layers 0.0-0.1 m and 0.1-0.2 m in depth as covariable, obtaining an estimation model and a thematic map by universal kriging. The thematic maps of the RSP at layer 0.2-0.3 m depth, constructed by both methods, were compared using measures of accuracy obtained from the construction of the matrix of errors and confusion matrix. There are similarities between the thematic maps. All maps showed that the RSP is higher in the north region.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000200019
Editor:  Associação Brasileira de Engenharia Agrícola
Relação:  10.1590/S0100-69162012000200019
Formato:  text/html
Fonte:  Engenharia Agrícola v.32 n.2 2012
Direitos:  info:eu-repo/semantics/openAccess
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