Two covariance models in Least Squares Collocation (LSC) tested in interpolation of local topography

Contributions to Geophysics and Geodesy

Wojciech Jarmołowski¹ 

关键词: covariance function;    correlation length;    hold-out validation;    Least Squares Collocation;    noise;   

DOI  :  10.2478/congeo-2013-0001

学科分类：地球科学(综合)

来源: De Gruyter

【 摘 要 】

Advantages and disadvantages of least squares collocation (LSC) and kriging have recently been discussed, especially as interdisciplinary research becomes popular. These statistical methods, based on a least squares rule, have infinite number of applications, also in the domains different than Earth sciences. The paper investigates covariance parameters estimation for spatial LSC interpolation, via a kind of cross-validation, called hold-out (HO) validation. Two covariance models are applied in order to reveal also those differences that come solely from the covariance model.

【 授权许可】

CC BY-NC-ND