SPEDInstabR: An algorithm based on a fluctuation index for selecting predictors in species distribution modeling

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• 作者：Cá ; stor Guisande^a ; ^{castor@uvigo.es} ; Emilio Garcí ; a-Roselló ; ^b ; Jü ; rgen Heine^b ; Jacinto Gonzá ; lez-Dacosta^b ; Luis Gonzá ; lez Vilas^a ; Baltasar J. Garcí ; a Pé ; rez^c ; Jorge M. Lobo^d
• 关键词：Biogeography ; Environmental data ; Species distribution models ; Use-availability ; Variable selection
• 刊名：Ecological Informatics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：37
• 期：Complete
• 页码：18-23
• 全文大小：1045 K
• 卷排序：37

文摘

Understanding the factors shaping species' distribution is a key topic in ecology. It is an important issue affecting distribution models' predictive ability. Our method for predicting variables' contribution is based on the stability concept. We compare using virtual species, our algorithm with MaxEnt.