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Spatio-Temporal Data Fusion for the Analysis of in Situ and Remote Sensing Data Using the INLA-SPDE Approach [PDF]
We propose a Bayesian hierarchical model to address the challenge of spatial misalignment in spatio-temporal data obtained from in situ and satellite sources. The model is fit using the INLA-SPDE approach, which provides efficient computation. Our methodology combines the different data sources in a "fusion"" model via the construction of projection ...
Samuel Wong
exaly +5 more sources
Interpolating Climate Variables by Using INLA and the SPDE Approach [PDF]
Gridded observational products of the main climate parameters are essential in climate science. Current interpolation approaches, implemented to derive such products, often lack of a proper uncertainty propagation and representation.
Michela Cameletti +2 more
exaly +4 more sources
Data Fusion in a Two-Stage Spatio-Temporal Model Using the INLA-SPDE Approach
This paper proposes a two-stage estimation approach for a spatial misalignment scenario that is motivated by the epidemiological problem of linking pollutant exposures and health outcomes. We use the integrated nested Laplace approximation method to estimate the parameters of a two-stage spatio-temporal model — the first stage models the exposures ...
Ben Swallow +2 more
exaly +5 more sources
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Computers and Geosciences, 2021
Abstract The complexity of geochemical patterns in surficial media makes it necessary to consider the uncertainty when identifying geochemical anomalies in geochemical prospecting. In this contribution, the type of uncertainty related to spatial modelling of geochemical element distribution based on a limited number of observations is considered.
Renguang Zuo
exaly +2 more sources
Abstract The complexity of geochemical patterns in surficial media makes it necessary to consider the uncertainty when identifying geochemical anomalies in geochemical prospecting. In this contribution, the type of uncertainty related to spatial modelling of geochemical element distribution based on a limited number of observations is considered.
Renguang Zuo
exaly +2 more sources

