Geostatistics for functional data: An ordinary kriging approach

نویسندگان

  • R. Giraldo
  • P. Delicado
  • J. Mateu
چکیده

We present a methodology to perform spatial prediction when measured data are curves. In particular, we propose both an estimator of the spatial correlation and a functional kriging predictor. We adapt an optimization criterium used in multivariable spatial prediction in order to estimate the kriging parameters. A real data example on soil penetration resistences illustrates our proposals.

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تاریخ انتشار 2007