中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Modeling Spatial Means of Surfaces With Stratified Nonhomogeneity

文献类型:SCI/SSCI论文

作者Wang J. F. ; Christakos G. ; Hu M. G.
发表日期2009
关键词Autocorrelation Kriging nonhomogeneity sampling spatial mean spatial stratification surface information accuracy
英文摘要In geosciences, one often needs to estimate the spatial means of surfaces representing physical attributes. Under certain conditions, this kind of estimation is often performed by a simple summation of a random sample or by some kind of a Kriging (spatial regression) technique. For example, the naive sample mean assumes that the sample is randomly distributed across space, which is a restrictive assumption with limited applicability in real-world situations (e. g., in the case of nonhomogeneous surfaces, the naive sample mean is a biased estimate of the actual surface mean). Kriging techniques can generate unbiased estimates for certain kinds of homogeneous surfaces but may be not appropriate in cases of stratified nonhomogeneity when the covariances exhibit considerable differences between different strata of the surface. In this paper, we extend the Kriging concept to study surfaces with stratified nonhomogeneity. The corresponding analytical formulas are derived, and empirical studies are performed that involve real-world and simulated data sets. Numerical comparative analysis showed that the proposed method performed well compared to other methods commonly used for the purpose of estimating surface means across space.
出处Ieee Transactions on Geoscience and Remote Sensing
47
12
4167-4174
收录类别SCI
语种英语
ISSN号0196-2892
源URL[http://ir.igsnrr.ac.cn/handle/311030/22930]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Wang J. F.,Christakos G.,Hu M. G.. Modeling Spatial Means of Surfaces With Stratified Nonhomogeneity. 2009.

入库方式: OAI收割

来源:地理科学与资源研究所

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