Quantitative Evaluation of Spatial Interpolation Models Based on a Data-Independent Method - Advances in Data, Methods, Models and Their Applications in Geoscience - page 67

smooth process or data precision improvement method can be an effective way to advance
the interpolated accuracy.
In order to further quantitatively depict the differences of morphological characteristics
between original surfaces and interpolated surfaces, further studies will be focused on
developing a visually quantitative index, such as an area enclosed between homologous
contours (two level contours separately derived from an original surface and an interpolated
surface). The real-world tests will also be conducted to compare with the findings by the
theoretical analysis and a set of high-accuracy data should be needed for test.
6. Acknowledgements
This study is supported by the National High Technology Research and Development
Program of China (No. 2011AA120304) the National Natural Science Foundation of China
(No. 40971230), the Doctoral Fund of Ministry of Education of China (No. 20093207110009)
and the Project Funded by the Priority Academic Program Development of Jiangsu Higher
Education Institutions.
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