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A class of nonseparable and nonstationary spatial temporal covariance functions
Spectral methods are powerful tools to study and model the dependency structure of spatial temporal processes. However, standard spectral approaches as well as geostatistical methods assume separability and stationarity of the covariance function; these can be very unrealistic assumptions in many se...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2007
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2761043/ https://ncbi.nlm.nih.gov/pubmed/19829763 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/env.891 |
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