[1]WANG Xueshan,SHEN Qingsong,GAO Fengjie,et al.Comparing Interpolation Methods to Predict the Spatial Distribution of Soil Available Phosphorus in the Mollisol Watershed of Northeast China[J].Research of Soil and Water Conservation,2021,28(02):33-40.
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Comparing Interpolation Methods to Predict the Spatial Distribution of Soil Available Phosphorus in the Mollisol Watershed of Northeast China
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
28
Number of periods:
2021 02
Page number:
33-40
Column:
Public date:
2021-02-06
- Title:
- Comparing Interpolation Methods to Predict the Spatial Distribution of Soil Available Phosphorus in the Mollisol Watershed of Northeast China
- Keywords:
- typical Mollisol; phosphorus; interpolation method; Kriging; accuracy
- CLC:
- S158.3
- DOI:
- -
- Abstract:
- To explore the optimal method of simulating the spatial pattern of available phosphorus(AP)in Mollisol watershed of Northeast China, semi-variance analysis, regression analysis and principal component analysis were combined, and eight interpolation methods including inverse distance weighted(IDW), radial basis functions(RBF), ordinary Kriging(OK), co-Kriging(COK), multiple linear regression(MLR), geographically weighted regression(GWR), regression Kriging(RK), and geographically weighted regression Kriging(GWRK)were used to simulate the spatial patterns of soil AP in two typical Mollisol watershed(Guangrong watershed and Haigouhe watershed)with different kinds of landscapes at diverse scales. The results show that:(1)the introduction of PCA can improve the prediction accuracy of RK method(4.5% increment)and GWRK method(2.4% increment);(2)GWRK method can be used as the optimal interpolation method to simulate the spatial distribution pattern of soil AP in Mollisol watershed compared with the traditional interpolation method, GWRK can improve the simulation accuracy of soil AP in Mollisol watershed and provide technical support for nutrient management.
- References:
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Last Update:
2021-02-10