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THE APPLICATION OF GEOSTATISTICS TO SOIL SCIENCE

Yongzhen Ding

Open publisher page 10 citations

Abstract

Geostatistics is widely used in soil science and has become an important tool to characterize soil properties.Semivariograms and Kriging play a principal role in this field.Semivariograms can be used to analyze the spatial patterns of physical or chemical attributes of soil.Kriging spatial interpolation is often employed in experiment design and soil sampling strategy.On the based of the analysis of spatial correlation between the observations from diffevent places,Kriging technique is also used to estimate the unsampled positions.Recently,spatial interpolation is widely used to assess soil quality and environmental capacity,and stochastic simulation to assess the uncertainty of soil properties.

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What this paper is about

Geostatistics is widely used in soil science and has become an important tool to characterize soil properties.Semivariograms and Kriging play a principal role in this field.Semivariograms can be used to analyze the spatial patterns of physical or chemical attributes of soil.Kriging spatial interpolation is often employed in experiment design and soil sampling strategy.On the based of the analysis of spatial correlation between the observations from diffevent places,Kriging technique is also used to estimate the unsampled positions.Recently,spatial interpolation is widely used to assess soil quality and environmental capacity,and stochastic simulation to assess the uncertainty of soil properties.

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Available abstract

Geostatistics is widely used in soil science and has become an important tool to characterize soil properties.Semivariograms and Kriging play a principal role in this field.Semivariograms can be used to analyze the spatial patterns of physical or chemical attributes of soil.Kriging spatial interpolation is often employed in experiment design and soil sampling strategy.On the based of the analysis of spatial correlation between the observations from diffevent places,Kriging technique is also used to estimate the unsampled positions.Recently,spatial interpolation is widely used to assess soil quality and environmental capacity,and stochastic simulation to assess the uncertainty of soil properties.

Key concepts: Kriging, Geostatistics, Interpolation (computer graphics), Soil science, Sampling (signal processing), Multivariate interpolation, Spatial variability, Environmental science

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