Comparison of maps of spatial variability of soil resistance to penetration constructed with and without covariables using a spatial linear model

• Autor(a) principal: Bastiani,Fernanda de
• Data de Publicação: 2012
• Outros Autores: Uribe-Opazo,Miguel A., Dalposso,Gustavo H.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Engenharia Agrícola
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000200019
• topic: geostatistics; maximum likelihood; error matrix

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.