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

F Bastiani, MA Uribe-Opazo, GH Dalposso - Engenharia agrícola, 2012 - SciELO Brasil
Engenharia agrícola, 2012SciELO Brasil
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, ie, 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 …
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.
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