Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence

Ítems similars

• Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence
  per: Mi, Chunrong, et al.
  Publicat: (2017)
• Machine Learning Model Analysis of Breeding Habitats for the Black-necked Crane in Central Asian Uplands under Anthropogenic Pressures
  per: Han, Xuesong, et al.
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• Updated Global Population Estimates of Three Endemic Crane Species in Northeast Asia: Wintering Status and Conservation Implications in Korea and Japan
  per: Hwasu Lee
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• Using Stochastic Gradient Boosting to Infer Stopover Habitat Selection and Distribution of Hooded Cranes Grus monacha during Spring Migration in Lindian, Northeast China
  per: Cai, Tianlong, et al.
  Publicat: (2014)
• Climate envelope predictions indicate an enlarged suitable wintering distribution for Great Bustards (Otis tarda dybowskii) in China for the 21st century
  per: Mi, Chunrong, et al.
  Publicat: (2016)