RELATIONSHIP BETWEEN SAMPLE DESIGN AND GEOMETRIC ANISOTROPY IN THE CONSTRUCTION OF THEMATIC MAPS OF CHEMICAL SOIL ATTRIBUTES

Luciana Pagliosa Carvalho Guedes, Miguel Angel Uribe-Opazo, Paulo Justiniano Ribeiro Junior, Gustavo Henrique Dalposso

Resumo


Spatial variability depends on the sampling configuration and characteristics associated with the georeferenced phenomenon, such as geometric anisotropy. This study aimed to determine the influence of the sampling configuration on parameter estimation in an anisotropic geostatistical model and the spatial estimation of a georeferenced variable at non-sampled locations. The simulation results are used as a reference to select anisotropic models to describe the spatial dependence structure in chemical soil properties. The choice of the sampling configuration influenced the spatial estimation of the georeferenced variable and the quality of the estimation of the geostatistical anisotropic model. The incorporation of geometric anisotropy in the spatial estimation of simulated data sets and soil chemical properties produced a difference in the spatial estimation and improved the level of detail of subregions in thematic maps.

Palavras-chave


Bootstrap; directional trend; geostatistics; spatial variability; tests for isotropy



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