Abstract
The problem of specifying random distributions conditional upon external “independent” factors may be seen as a spatial interpolation problem of conditional moments in a generalized phase space. Different techniques for solving this interpolation problem are presented, and the different requirements for applications for simulation and forecast purposes are discussed. The design of universal empirical coordinates is outlined and the concept of data assimilation by means of forecast schemes is sketched.
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© 1999 Springer Science+Business Media Dordrecht
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Storch, H.V. (1999). Representation of Conditional Random Distributions as a Problem of “Spatial” Interpolation. In: Gómez-Hernández, J., Soares, A., Froidevaux, R. (eds) geoENV II — Geostatistics for Environmental Applications. Quantitative Geology and Geostatistics, vol 10. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9297-0_2
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DOI: https://doi.org/10.1007/978-94-015-9297-0_2
Publisher Name: Springer, Dordrecht
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