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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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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2007
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| 主題: | |
| オンライン･アクセス: | 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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