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Mathematics of Planet Earth : Protecting Our Planet, Learning from the Past, Safeguarding for the Future / Hans G. Kaper, Fred S. Roberts editors
| Mathematics of Planet Earth : Protecting Our Planet, Learning from the Past, Safeguarding for the Future / Hans G. Kaper, Fred S. Roberts editors |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xix, 374 p. : ill. ; 24 cm |
| Soggetto topico |
90Bxx - Operations research and management science [MSC 2020]
60Gxx - Stochastic processes [MSC 2020] 92Bxx - Mathematical biology in general [MSC 2020] 86-XX - Geophysics [MSC 2020] 92Dxx - Genetics and population dynamics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 91Dxx - Mathematical sociology (including anthropology) [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Carbon Cycle
Climate change impacts Data reduction Data-driven modeling Dynamic optimization Earth's Climate System Ecosystem services Glacial cycles Gravitational potential Machine learning Mathematical Ecology Mathematical modeling Risk management Risk-structured model Sea level Urban computing |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127016 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Mathematics of Planet Earth : Protecting Our Planet, Learning from the Past, Safeguarding for the Future / Hans G. Kaper, Fred S. Roberts editors
| Mathematics of Planet Earth : Protecting Our Planet, Learning from the Past, Safeguarding for the Future / Hans G. Kaper, Fred S. Roberts editors |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xix, 374 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
62Pxx - Applications of statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] 86-XX - Geophysics [MSC 2020] 90Bxx - Operations research and management science [MSC 2020] 91Dxx - Mathematical sociology (including anthropology) [MSC 2020] 92Bxx - Mathematical biology in general [MSC 2020] 92Dxx - Genetics and population dynamics [MSC 2020] |
| Soggetto non controllato |
Carbon Cycle
Climate change impacts Data reduction Data-driven modeling Dynamic optimization Earth's Climate System Ecosystem services Glacial cycles Gravitational potential Machine learning Mathematical Ecology Mathematical modeling Risk management Risk-structured model Sea level Urban computing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00127016 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Microbial Role in the Carbon Cycle in Tropical Inland Aquatic Ecosystems
| Microbial Role in the Carbon Cycle in Tropical Inland Aquatic Ecosystems |
| Autore | Roland Fábio |
| Pubbl/distr/stampa | Frontiers Media SA, 2017 |
| Descrizione fisica | 1 online resource (144 p.) |
| Collana | Frontiers Research Topics |
| Soggetto topico | Microbiology (non-medical) |
| Soggetto non controllato |
Autotrophs
biomass production Carbon Cycle heterotrophs Lagoons Lakes Latitudinal gradients microbial ecology Microbial metabolism microorganisms Plankton Respiration Rivers Tropical freshwaters |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910220034803321 |
Roland Fábio
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| Frontiers Media SA, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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