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Kriging for large data sets: A tentative comprehensive review

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Thomas Romary

Résumé

Spatial statistics for very large spatial data sets is challenging. The size n of the data set causes problems in computing optimal spatial predictors such as kriging, since its computational cost is of order n^3 . In addition, a large data set is often defi ned on a large spatial domain, so the spatial process of interest typically exhibits non-stationary behaviour. In the literature, numerous approach have been proposed. We review here most of them.
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hal-00583630 , version 1 (06-04-2011)

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  • HAL Id : hal-00583630 , version 1

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Thomas Romary. Kriging for large data sets: A tentative comprehensive review. 2009. ⟨hal-00583630⟩
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