Point-wise Kriging for Spatial Prediction of Functional Data

  • Pedro Delicado
  • Ramón Giraldo
  • Jorge Mateu
Part of the Contributions to Statistics book series (CONTRIB.STAT.)

We propose a methodology to carry out spatial prediction when measured data are curves. Our approach is based on both the kriging predictor and the functional linear point-wise model theory. The spatial prediction of an unobserved curve is obtained as a linear combination of observed functions. We employ a solution based on basis function to estimate the functional parameters. A real data set is used to illustrate the proposals.


Functional Parameter Ordinary Kriging Spatial Prediction Functional Data Analysis Functional Principal Component 
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Copyright information

© Physica-Verlag Heidelberg 2008

Authors and Affiliations

  • Pedro Delicado
    • 1
  • Ramón Giraldo
    • 2
  • Jorge Mateu
    • 3
  1. 1.Universitat Politècnica de CatalunyaSpain
  2. 2.Departamento de EstadísticaUniversidad Nacional de ColombiaColombia
  3. 3.Departamento de MatemáticasUniversitat Jaume ISpain

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