Shepard’s method of “metric interpolation” to bivariate and multivariate interpolation
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Shepard developed a scheme for interpolation to arbitrarily spaced discrete bivariate data. This scheme provides an explicit global representation for an interpolant which satisfies a maximum principle and which reproduces constant functions. The interpolation method is basically an inverse distance formula which is generalized to any Euclidean metric. These techniques extend to include interpolation to partial derivative data at the interpolation points.
[1] D. Shepard. A two-dimensional interpolation function for irregularly-spaced data , 1968, ACM National Conference.
[2] Charles Christian Poeppelmeier. A boolean sum interpolation scheme to random data for computer aided geometric design , 1975 .
[3] L. Schumaker. Fitting surfaces to scattered data , 1976 .