For modelling non-stationary spatial random fields Z = { Z ( x ) : x ∊ℝ n , n ≥2} a recent method has been proposed to deform bijectively the index space so that the spatial dispersion D ( x , y ) = var[ Z ( x )- Z ( y )], ( x , y )∊ℝ n xℝ n , depends only on the Euclidean distance in the deformed space through an isotropic variogram γ. We prove uniqueness of this model in two different cases: (i) γ is strictly increasing; (ii) γ( u ) is differentiable for u > 0.
No takes yet. Share an insight, caveat, or question.
Perrin et al. (1999) studied this question.
Synapse has enriched one closely related paper. Consider it for comparative context: