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首页> 外文期刊>Contributions to Geophysics and Geodesy >Two covariance models in Least Squares Collocation (LSC) tested in interpolation of local topography
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Two covariance models in Least Squares Collocation (LSC) tested in interpolation of local topography

机译：在局部地形插值中测试的最小二乘配置（LSC）中的两个协方差模型

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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.
机译：最近已经讨论了最小二乘搭配（LSC）和克里金法的优缺点，尤其是随着跨学科研究的流行。这些基于最小二乘法的统计方法在与地球科学不同的领域中具有无限的应用。本文研究了空间LSC插值的协方差参数估计，方法是通过一种称为保留（HO）验证的交叉验证。应用两个协方差模型是为了揭示仅来自协方差模型的那些差异。

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