A Cokriging Method for Spatial Functional Data with Applications in Oceanology
A Cokriging Method for Spatial Functional Data with Applications in Oceanology
复制标题
空间函数数据的协克里格方法及其在海洋学中的应用
DOI：
--
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
D. Nerini
中科院分区：
文献类型：
--
作者：
P. Monestiez;D. Nerini
我们提出了一种基于函数线性模型的方法，该模型考虑了采样函数之间的空间依赖性。当空间样本可用时，估计函数的问题被转化为标准协克里格问题，以选择合适的回归函数。这项工作是说明在南极海洋哺乳动物作为采样器的环境数据。在二阶平稳性框架下，指出了估计观测值间空间协方差结构的困难。
We propose a method based on a functional linear model which takes into account the spatial dependencies between sampled functions. The problem of estimating a function when spatial samples are available is turned to a standard cokriging problem for suitable choices of the regression function. This work is illustrated with environmental data in Antarctic where marine mammals operate as samplers. In the framework of second order stationarity, the application points out some di culties when estimating the structure of spatial covariance between observations.