A cokriging method for spatial functional data with applications in oceanology
International audience 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 reg...
Main Authors: | , |
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Other Authors: | , , , , , |
Format: | Book Part |
Language: | English |
Published: |
HAL CCSD
2008
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Subjects: | |
Online Access: | https://hal.inrae.fr/hal-02817738 https://doi.org/10.1007/978-3-7908-2062-1_36 |
Summary: | International audience 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 |
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