Does non-stationary spatial data always require non-stationary random fields?

no code implementations • 2 Sep 2014 • Geir-Arne Fuglstad, Daniel Simpson, Finn Lindgren, Håvard Rue

A stationary spatial model is an idealization and we expect that the true dependence structures of physical phenomena are spatially varying, but how should we handle this non-stationarity in practice?

Methodology Applications

Exploring a New Class of Non-stationary Spatial Gaussian Random Fields with Varying Local Anisotropy

no code implementations • 25 Apr 2013 • Geir-Arne Fuglstad, Finn Lindgren, Daniel Simpson, Håvard Rue

This allows for the introduction of parameters that control the GRF by parametrizing the diffusion matrix.

Methodology