Prevalence, thresholds and the performance of presence–absence models
Version of Record online: 8 DEC 2013
© 2013 The Authors. Methods in Ecology and Evolution © 2013 British Ecological Society
Methods in Ecology and Evolution
Volume 5, Issue 1, pages 54–64, January 2014
How to Cite
Lawson, C. R., Hodgson, J. A., Wilson, R. J., Richards, S. A. (2014), Prevalence, thresholds and the performance of presence–absence models. Methods in Ecology and Evolution, 5: 54–64. doi: 10.1111/2041-210X.12123
- Issue online: 14 JAN 2014
- Version of Record online: 8 DEC 2013
- Accepted manuscript online: 5 OCT 2013 10:21AM EST
- Manuscript Accepted: 30 SEP 2013
- Manuscript Received: 27 JUL 2013
- University of Exeter
|mee312123-sup-0001-DataS1.xlsx||application/msexcel||32K||Data S1. Results from literature review of trends in SDM performance assessment.|
Appendix S1. Proof that binary performance measures favour binary predictions.
Appendix S2. Description of performance metrics.
Appendix S3. Proof that AUC is equivalent to TSS for binary models.
Appendix S4. Literature review methods.
Appendix S5. Proof that binary predictions frequently have reduced discrimination ability.
Appendix S6. Stochasticity in presence-absence models.
Appendix S7. Effects on the frequency of different environments on performance.
Appendix S8. Further details on conservation examples.
Appendix S9. Demonstration of likelihood performance metrics.
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