Performance of statistical and machine learning-based methods for predicting biogeographical patterns of fungal productivity in forest ecosystems
Abstract Background The prediction of biogeographical patterns from a large number of driving factors with complex interactions, correlations and non-linear dependences require advanced analytical methods and modeling tools. This study compares different statistical and machine learning-based models...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2021-03-01
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| Series: | Forest Ecosystems |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40663-021-00297-w |