Spatial modeling and prediction under stationary non-geometric range anisotropy


For modeling spatial processes, we propose a rich parametric class of stationary range anisotropic covariance structures that, when applied in R2, greatly increases the scope of variogram contors. Geometric anisotropy, which provides the most common generalization of isotropy within stationarity, is a special case. Our class is built from monotonic… (More)
DOI: 10.1023/A:1023600123559


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