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On the functional optimization of a certain class of nonstationary spatial functions

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Abstract

Procedures are developed in order to obtain optimal estimates of linear functionals for a wide class of nonstationary spatial functions. These procedures rely on well-established constrained minimum-norm criteria, and are applicable to multidimensional phenomena which are characterized by the so-called hypothesis of inherentity. The latter requires elimination of the polynomial, trend-related components of the spatial function leading to stationary quantities, and also it generates some interesting mathematics within the context of modelling and optimization in several dimensions. The arguments are illustrated using various examples, and a case study computed in detail.

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Communicated by L. C. W. Dixon

The authors acknowledge with appreciation the comments and criticisms made by Dr. L. C. W. Dixon of the Numerical Optimization Centre, Hatfield Polytechnic, Hatfield, Hertfordshire, England.

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Christakos, G., Paraskevopoulos, P.N. On the functional optimization of a certain class of nonstationary spatial functions. J Optim Theory Appl 52, 191–208 (1987). https://doi.org/10.1007/BF00941280

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