期刊
COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS
卷 43, 期 7, 页码 1024-1041出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/00103624.2012.656166
关键词
Areal interpolation; change of support; geostatistics; soil sampling; spatial prediction
资金
- Leibniz-Institute for Agricultural Engineering, Potsdam-Bornim
Mapping of phosphorus (P) is based on sampling and laboratory analysis. Although laboratory analysis is costly, the number of samples is restricted in practice. In zone sampling, areas of the field are used to composite samples from sets of sampling points to reduce efforts. This study introduces area-to-point (ATP) kriging for down-scaling composite samples with different sizes and shapes of the sampling areas. ATP kriging makes use of the coordinates of the sampling points of the composite samples. The applicability was tested on a simulated data set as well as on a spatially dense sample set of P measurements. Validation shows that ATP kriging outperforms point kriging with centroid interpolation. The root mean square error (RMSE) is reduced from 39.5 to 33.5 mg kg(-1). ATP kriging predictions were better at retaining the P value of the sampling area. The smoothing effect of interpolation and the aggregation effect of compositing the samples were reduced.
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