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 F.; Cocchi D.; Vagheggini A.. - ELETTRONICO. - 1:(2011), pp. 1-4. (Intervento presentato al convegno Spatial 2, Spatial Data Methods for Environmental and Ecological Processes - 2nd Edition, TIES Satellite Meeting if ISI Dublin 2011 tenutosi a Foggia and Baia delle Zagare nel 1 e 2 settembre 2011).
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
