Assessing the accuracy of species distribution models more thoroughly

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作者：
Arthur Rylah Institute for Environmental Research, Department of Sustainability and Environment, 123 Brown Street, Heidelberg, VIC 3084, Australia [1 ]
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来源：
World IMACS Congr. MODSIM Int. Congr. Model. Simul.: Interfacing Model. Simul. Math. Comput. Sci., Proc. | / 4234-4240期
关键词：
Accuracy measures - Computer intensive methods - Confidence interval - Generalized additive model - Machine learning methods - Prevalence - Species distribution models - Species distributions;
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