作者: Canran Liu , Matt White , Graeme Newell , Peter Griffioen
DOI: 10.1016/J.ECOLMODEL.2012.07.003
关键词: Ecology 、 Sensitivity (control systems) 、 State (computer science) 、 Computer science 、 Data mining 、 Species distribution 、 Sustainability 、 Biodiversity 、 Random forest 、 Lift (data mining) 、 Environmental niche modelling
摘要: … of species with environmental GIS data layers using a machine learning algorithm, random forest, we have built species distribution models for 523 vertebrate fauna species across the …