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...

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Detalles Bibliográficos
Autores principales: Zhang, Lei, Huettmann, Falk, Zhang, Xudong, Liu, Shirong, Sun, Pengsen, Yu, Zhen, Mi, Chunrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Environmental Science
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

Internet

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

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