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A scalable model of vegetation transitions using deep neural networks
1. In times of rapid global change, anticipating vegetation changes and assessing their impacts is of key relevance to managers and policy makers. Yet, predicting vegetation dynamics often suffers from an inherent scale mismatch, with abundant data and process understanding being available at a fine...
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| Publicado no: | Methods Ecol Evol |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6582592/ https://ncbi.nlm.nih.gov/pubmed/31244986 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/2041-210X.13171 |
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