When spatial interpolation is carried out under a deterministic approach rather than according to the classical model-based approach known as kriging, the statistical properties of the predictor cannot be assessed. The aim of this work is to achieve these properties under a finite population design-based framework, that treats spatial locations as the outcome of a probabilistic sample.

On the design-based properties of spatial interpolation

BRUNO, FRANCESCA;COCCHI, DANIELA;VAGHEGGINI, ALESSANDRO
2011

Abstract

When spatial interpolation is carried out under a deterministic approach rather than according to the classical model-based approach known as kriging, the statistical properties of the predictor cannot be assessed. The aim of this work is to achieve these properties under a finite population design-based framework, that treats spatial locations as the outcome of a probabilistic sample.
“Spatial Data Methods for Environmental and Ecological Processes - 2nd Edition. Proceedings
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Bruno F.; Cocchi D.; Vagheggini A.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/106911
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