Abstract
In the paper a method of modelling the spatial variogram structure of an anisotropic space-time process is described. The method uses linear transformation of the space in which the process is observed. A proper optimization problem is formulated. The numerical solution is based on a two-stage iterative algorithm. Application of the method for a set of air monitoring data is presented.
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