Selection of a Geostatistical Method to Interpolate Soil Properties of the State Crop Testing Fields using Attributes of a Digital Terrain Model
- Authors: Sahabiev I.A.1, Ryazanov S.S.2, Kolcova T.G.2, Grigoryan B.R.2
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Affiliations:
- Kazan Federal University
- Research Institute for Problems of Ecology and Mineral Wealth Use
- Issue: Vol 51, No 3 (2018)
- Pages: 255-267
- Section: Genesis and Geography of Soils
- URL: https://journals.rcsi.science/1064-2293/article/view/224441
- DOI: https://doi.org/10.1134/S1064229318030122
- ID: 224441
Cite item
Abstract
The three most common techniques to interpolate soil properties at a field scale—ordinary kriging (OK), regression kriging with multiple linear regression drift model (RK + MLR), and regression kriging with principal component regression drift model (RK + PCR)—were examined. The results of the performed study were compiled into an algorithm of choosing the most appropriate soil mapping technique. Relief attributes were used as the auxiliary variables. When spatial dependence of a target variable was strong, the OK method showed more accurate interpolation results, and the inclusion of the auxiliary data resulted in an insignificant improvement in prediction accuracy. According to the algorithm, the RK + PCR method effectively eliminates multicollinearity of explanatory variables. However, if the number of predictors is less than ten, the probability of multicollinearity is reduced, and application of the PCR becomes irrational. In that case, the multiple linear regression should be used instead.
About the authors
I. A. Sahabiev
Kazan Federal University
Author for correspondence.
Email: ilnassoil@yandex.ru
Russian Federation, Kazan, 420008
S. S. Ryazanov
Research Institute for Problems of Ecology and Mineral Wealth Use
Email: ilnassoil@yandex.ru
Russian Federation, Kazan, 420087
T. G. Kolcova
Research Institute for Problems of Ecology and Mineral Wealth Use
Email: ilnassoil@yandex.ru
Russian Federation, Kazan, 420087
B. R. Grigoryan
Research Institute for Problems of Ecology and Mineral Wealth Use
Email: ilnassoil@yandex.ru
Russian Federation, Kazan, 420087