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The use of classification and regression algorithms using the random forests method with presence-only data to model species’ distribution
Random forests (RF) is a powerful species distribution model (SDM) algorithm. This ensemble model by default can produce categorical and numerical species distribution maps based on its classification tree (CT) and regression tree (RT) algorithms, respectively. The CT algorithm can also produce nume...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812352/ https://www.ncbi.nlm.nih.gov/pubmed/31667128 http://dx.doi.org/10.1016/j.mex.2019.09.035 |