Sample size and species characteristics, including prevalence and habitat specialization, can influence the predictive performance of species distribution models (SDMs). There is little agreement, however, on which metric of model performance to use. Here, we directly compare AUC and partial ROC as metrics of SDM performance through analyses on the effects of species traits and sample size on SDM performance.
Deciphering ecology from statistical artefacts: Competing influence of sample size, prevalence and habitat specialization on species distribution models and how small evaluation datasets can inflate metrics of performance
Published 2020 in Diversity and Distributions: A journal of biological invasions and biodiversity
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- Publication year
2020
- Venue
Diversity and Distributions: A journal of biological invasions and biodiversity
- Publication date
2020-01-09
- Fields of study
Biology, Mathematics, Environmental Science
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Semantic Scholar
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