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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Spatial Interpolation and Temperature Information Visualization
verfasst von : Linhui Wang, Ming Che, Jia Li
Erschienen in: Future Information Technology
Verlag: Springer Berlin Heidelberg
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Spatial interpolation on temperature field has gained increased interest in recent years. In this paper we investigate the interpolation accuracy of three frequently used methods (i.e. Inverse-Distance Weighting, Thin Plate Spline and Ordinary Kriging) on the United States temperature data using cross-validation technique. Our results indicate that Ordinary Kriging method has higher interpolation accuracy than other two methods. Finally, an elevation optimization is added to Ordinary Kriging and we can find that it increases interpolation accuracy even further. Based on the interpolated data, this paper also gives a two-dimensional visualization of temperature data and temperature difference data on United States.