Geostatistics for functional data: an ordinary kriging approach
Rights accessOpen Access
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.