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.
Main Author: | |
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Other Authors: | |
Format: | eBook |
Language: | Inglés |
Published: |
Milton :
Taylor & Francis Group
2024.
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Edition: | 2nd ed |
See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009817939606719 |
Summary: | 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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Physical Description: | 1 online resource (313 pages) |
ISBN: | 9781040026311 9781040026298 9781032711126 |