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.
(2011). On the design-based properties of spatial interpolation [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/25264
On the design-based properties of spatial interpolation
2011-01-01
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.File allegato/i alla scheda:
File | Dimensione del file | Formato | |
---|---|---|---|
30.pdf
accesso aperto
Descrizione: publisher's version - versione dell'editore
Dimensione del file
60.06 kB
Formato
Adobe PDF
|
60.06 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo