Non-stationary covariance function modelling in 2D least-squares collocation

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Non-stationary covariance function modelling in 2D least-squares collocation

Standard least-squares collocation (LSC) assumes 2D stationarity and 3D isotropy, and relies on a covariance function to account for spatial dependence in the ob-served data. However, the assumption that the spatial dependence is constant through-out the region of interest may sometimes be violated....

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Bibliographic Details
Main Authors:	Darbeheshti, Neda, Featherstone, Will
Format:	Journal Article
Published:	Springer - Verlag 2009
Subjects:	gravity field interpolation elliptical kernel convolution non-stationary covariance function Darling Fault Australia modelling Least squares collocation (LSC)
Online Access:	http://hdl.handle.net/20.500.11937/42464

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