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- W2246222712 abstract "Risk assessment in environmental applications involving spatiotemporal pro-cesses requires, in most cases, a dynamic evaluation and detection of the even-tually critical behavior in relation to the spatial variability. In this paper, theproblem of designing adaptive sampling strategies for prediction in a spatiotem-poral state-space model framework is considered. Specically, at each time, theregion of interest for the unobservable process is re-dened based on the updatedhistorical observations, which provide information on relative local uncertainty.A dynamic optimal selection of spatial sampling congurations is then proposedbased on entropy criteria. Performance is illustrated with an empirical study." @default.
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- W2246222712 date "2007-01-01" @default.
- W2246222712 modified "2023-09-27" @default.
- W2246222712 title "Time-adaptive spatial sampling design" @default.
- W2246222712 hasPublicationYear "2007" @default.
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