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Time-space Kriging to address the spatiotemporal misalignment in the large datasets
This paper presents a Bayesian hierarchical spatiotemporal method of interpolation, termed as Markov Cube Kriging (MCK). The classical Kriging methods become computationally prohibitive, especially for large datasets due to the O(n(3)) matrix decomposition. MCK offers novel and computationally effic...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3768020/ https://ncbi.nlm.nih.gov/pubmed/24039539 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.atmosenv.2013.02.034 |
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