| Comparison of spatial interpolation methods for soil nutrient elements——A case study of Yuyang County, Shaanxi Province |
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| DOI：10.7606/j.issn.1000-7601.2010.02.37 |
| Key Words: soil nutrient element spatial interpolation cross validation IDW Spline Ordinary Kriging |
| Author Name | Affiliation | | ZHANG Tiechan | College of Resources and Environment, Northwest A & F University, Yangling, Shaanxi 712100, China | | CHANG Qingrui | College of Resources and Environment, Northwest A & F University, Yangling, Shaanxi 712100, China | | LIU Jing | College of Resources and Environment, Northwest A & F University, Yangling, Shaanxi 712100, China |
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| Abstract: |
| Taking five kinds of soil nutrient elements including soil organic matter, hydrolyzable nitrogen, available phosphorus, available potassium, total nitrogen in Yuyang County of Shaanxi Province as an example, we made spatial interpolation for soil nutrient elements by using three types of representative interpolation methods, including Inverse Distance Weighted (IDW), Spline and Ordinary
Kriging and validated and appraised the results. And a comparison is made between methods with optimized parameters. There were 1459 samples used for interpolat
ion, and cross validation method was used to verify and analyze interpolation. It is showed that the density of samples has greater effects on interpolation results: better results in intensive samples area while worse results in sparse samples area. The results of comparison indicate that ordinary Kriging exhibits best effect in characterizing spatial distribution trend of soil nutrient elements, yet the optimized models and parameters of semi variogram are still pending for further study; Inverse Distance Weighted and Spline interpolate less accuratel
y for the spatial distribution of soil nutrient elements, but they are easy to use and to select optimized parameters. |
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