Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling
Top Cited Papers
- 27 May 2011
- journal article
- Published by Wiley in Global Ecology and Biogeography
- Vol. 21 (4), 498-507
- https://doi.org/10.1111/j.1466-8238.2011.00683.x
Abstract
No abstract availableKeywords
This publication has 43 references indexed in Scilit:
- Assessing the effect of prevalence on the predictive performance of species distribution models using simulated dataGlobal Ecology and Biogeography, 2010
- Niches and distributional areas: Concepts, methods, and assumptionsProceedings of the National Academy of Sciences of the United States of America, 2009
- Rethinking receiver operating characteristic analysis applications in ecological niche modelingEcological Modelling, 2008
- The Inconsistency of “Optimal” Cutpoints Obtained using Two Criteria based on the Receiver Operating Characteristic CurveAmerican Journal of Epidemiology, 2006
- Niche Modeling Perspective on Geographic Range Predictions in the Marine Environment Using a Machine-learning AlgorithmOceanography, 2003
- Receiver Operating Characteristic MethodologyJournal of the American Statistical Association, 2000
- Comparing classifiers when the misallocation costs are uncertainPattern Recognition, 1999
- The GARP modelling system: problems and solutions to automated spatial predictionInternational Journal of Geographical Information Science, 1999
- A review of methods for the assessment of prediction errors in conservation presence/absence modelsEnvironmental Conservation, 1997
- A Coefficient of Agreement for Nominal ScalesEducational and Psychological Measurement, 1960