期刊
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
卷 23, 期 5, 页码 543-553出版社
SPRINGER
DOI: 10.1007/s00477-008-0226-6
关键词
Estimation variance; Kriging; Local estimation; Optimal parameters
类别
资金
- Alberta Ingenuity Foundation
- University of Alberta and industry
Inverse distance interpolation is a robust and widely used estimation technique. Variants of kriging are often proposed as statistical techniques with superior mathematical properties such as minimum error variance; however, the robustness and simplicity of inverse distance interpolation motivate its continued use. This paper presents an approach to integrate statistical controls such as minimum error variance into inverse distance interpolation. The optimal exponent and number of data may be calculated globally or locally. Measures of uncertainty and local smoothness may be derived from inverse distance estimates.
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