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Geostatistics for functional data: an ordinary kriging approach

Authors: Giraldo, Ramón; Delicado Useros, Pedro Francisco; Mateu, Jorge;

Geostatistics for functional data: an ordinary kriging approach

Abstract

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.

Country
Spain
Keywords

Soil penetration resistance, Classificació AMS::86 Geophysics, Trace-semivariogram, Classificació AMS::62 Statistics::62H Multivariate analysis, Geofísica, Functional data, Kriging, Ordinary kriging, Geophysics, Multivariate analysis, Anàlisi multivariable, Geology Statistical methods

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green