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

Antzeko izenburuak

• Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence
  nork: Chunrong Mi, et al.
  Argitaratua: (2017-01-01)
• Machine Learning Model Analysis of Breeding Habitats for the Black-necked Crane in Central Asian Uplands under Anthropogenic Pressures
  nork: Han, Xuesong, et al.
  Argitaratua: (2017)
• Climate envelope predictions indicate an enlarged suitable wintering distribution for Great Bustards (Otis tarda dybowskii) in China for the 21st century
  nork: Mi, Chunrong, et al.
  Argitaratua: (2016)
• Combining occurrence and abundance distribution models for the conservation of the Great Bustard
  nork: Mi, Chunrong, et al.
  Argitaratua: (2017)
• The use of classification and regression algorithms using the random forests method with presence-only data to model species’ distribution
  nork: Zhang, Lei, et al.
  Argitaratua: (2019)