| Spatial interpolation method of soil temperature of Ketu desert on east of Qinghai Lake |
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| DOI：10.7606/j.issn.1000-7601.2012.05.35 |
| Key Words: Qinghai Lake soil temperature interpolation method prediction accuracy |
| Author Name | Affiliation | | CUI Jianxin | Center for Historical Environment and Socio Economic Development in Northwest China, Shaanxi Normal University, Xi'an, Shaanxi 710062, China | | CHANG Hong | State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, CAS, Xi'an, Shaanxi 710075, China | | LIU Quanjun | State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, CAS, Xi'an, Shaanxi 710075, China |
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| Abstract: |
| Based on the spatial interpolation technique served by GIS, this paper evaluated the prediction accuracies of three interpolation methods, i.e. Ordinary Krig（OK）, Radical Basis Functions（RBF）and Inverse Distance Weighting（IDW）. Not only do these techniques have the capability of producing a prediction surface, but they can also provide some measure of the certainty or accuracy of the predictions. The results showed that there was a high similarity between Ok and RBF methods at the location of sand beam on which the measurement were conducted. However, there was a big discrepancy at the edge of the interpolation surface. The prediction temperature result of IDW method was lower than that of the OK and RBF methods. Companied with the results of cross-validation and site-val
idation, we could find that the fitting capacity of these methods follow the sequence of OK＞RBF＞IDW. Therefore, the OK method was used to produce the spatial patterns of soil temperature over the study area. In addition, the accuracy of the p
redictions was impacted by several factors, including sample distribution, season variability of soil temperature and so on. |
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