Abstract
In the paper, the problem of Network optimization is studied from the point of view of Network correlational redundancy minimization. For that a definition of redundancy is given by means of the introduction of new notion: the number of independent observations “equivalent” in the sense of field anomalicity to a given number of correlated observations. Such a criteria allows us to solve both the problem of optimal ranking of a set of stations, and the problem of optimal localisation of a new station for an already given set. For that various backward and forward iterative algorithms are used, in connection with the definition or computing of spatial correlation function of the concerned field. Various examples of concrete applications are given for different meteorological fields.
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