• DOI:10.1007/BF01868317
• Corpus ID: 153448048

Resampling methods for evaluating classification accuracy of wildlife habitat models

@article{Verbyla1989ResamplingMF,
  title={Resampling methods for evaluating classification accuracy of wildlife habitat models},
  author={David L. Verbyla and John A. Litvaitis},
  journal={Environmental Management},
  year={1989},
  volume={13},
  pages={783-787}
}

• D. Verbyla, J. A. Litvaitis
• Published 1 November 1989
• Environmental Science
• Environmental Management

Predictive models of wildlife-habitat relationships often have been developed without being tested The apparent classification accuracy of such models can be optimistically biased and misleading. Data resampling methods exist that yield a more realistic estimate of model classification accuracy These methods are simple and require no new sample data. We illustrate these methods (cross-validation, jackknife resampling, and bootstrap resampling) with computer simulation to demonstrate the increase in precision of the estimate. The bootstrap method is then applied to field data as a technique for model comparison We recommend that biologists use some resampling procedure to evaluate wildlife habitat models prior to field evaluation.