Environmental data present nearly always a multivariate spatiotemporal structure. Simultaneous diagonalization of the sample matrix variogram is often convenient for isolating space and time correlation of complex latent components. This is also useful for modeling and prediction purposes.
A latent variables based-model for spatiotemporal environmental analysis
DE IACO, Sandra;PALMA, Monica;POSA, Donato
2013-01-01
Abstract
Environmental data present nearly always a multivariate spatiotemporal structure. Simultaneous diagonalization of the sample matrix variogram is often convenient for isolating space and time correlation of complex latent components. This is also useful for modeling and prediction purposes.File in questo prodotto:
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