Land Carbon Cycle Modeling Matrix Approach, Data Assimilation, Ecological Forecasting, and Machine Learning
This new edition includes 7 new chapters on machine learning and its applications to carbon cycle research, on principles underlying carbon dioxide removal from the atmosphere, a contemporary active research and management issue, and on community infrastructure for ecological forecasting.
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Milton :
Taylor & Francis Group
2024.
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| Edición: | 2nd ed |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009817939606719 |
| Sumario: | This new edition includes 7 new chapters on machine learning and its applications to carbon cycle research, on principles underlying carbon dioxide removal from the atmosphere, a contemporary active research and management issue, and on community infrastructure for ecological forecasting. |
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| Descripción Física: | 1 online resource (313 pages) |
| ISBN: | 9781040026311 9781040026298 9781032711126 |
