2011
DOI: 10.17221/9/2010-swr
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Geostatistical analysis of soil texture fractions on the field scale

Abstract: Geostatistical estimation methods including ordinary kriging (OK), lognormal ordinary kriging (LOK), cokriging (COK), and indicator kriging (IK) are compared for the purposes of prediction and, in particular, uncertainty assessment of the soil texture fractions, i.e. sand, silt, and clay proportions, in an erosion experimental field in Lower Austria. The soil samples were taken on 136 sites, about 30-m apart. The validation technique was cross-validation, and the comparison criteria were the mean bias error (M… Show more

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Cited by 27 publications
(17 citation statements)
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“…Then, this function will be used to calculate the transition probability value in the Equation (3). In this study, the initial (or reference) soil texture type of the prediction point is determined from the existing coarse resolution soil texture map [18]. At last, for a prediction point u j , its predicted soil texture value (composition of sand, silt, and clay) Z * u j , is calculated by Formula (4).…”
Section: The Mcrf Methodsmentioning
confidence: 99%
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“…Then, this function will be used to calculate the transition probability value in the Equation (3). In this study, the initial (or reference) soil texture type of the prediction point is determined from the existing coarse resolution soil texture map [18]. At last, for a prediction point u j , its predicted soil texture value (composition of sand, silt, and clay) Z * u j , is calculated by Formula (4).…”
Section: The Mcrf Methodsmentioning
confidence: 99%
“…This is because the OK method is a classical linear method, thus has a smoothing effect with overestimations of small values and underestimations of high values [18,62]. Thus, we would expect the results produced by the OK method to occupy a relatively small range of values (excluding extreme values) [18].…”
Section: The Impacts Of Different Computation Mechanismsmentioning
confidence: 99%
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