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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 multi- variable spatial prediction in order to estimate the kriging parameters. A real data example on soil penetration resistences illustrates our proposals.
Soil penetration resistance, Classificació AMS::86 Geophysics, Trace-semivariogram, Classificació AMS::62 Statistics::62H Multivariate analysis, :62 Statistics::62H Multivariate analysis [Classificació AMS], Geofísica, Functional data, Kriging, Ordinary kriging, Geophysics, Multivariate analysis, Anàlisi multivariable, :86 Geophysics [Classificació AMS], Geology Statistical methods
Soil penetration resistance, Classificació AMS::86 Geophysics, Trace-semivariogram, Classificació AMS::62 Statistics::62H Multivariate analysis, :62 Statistics::62H Multivariate analysis [Classificació AMS], Geofísica, Functional data, Kriging, Ordinary kriging, Geophysics, Multivariate analysis, Anàlisi multivariable, :86 Geophysics [Classificació AMS], Geology Statistical methods
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