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Identifying appropriate spatial scales of predictors in species distribution models with the random forest algorithm
Article first published online: 16 OCT 2012
DOI: 10.1111/j.2041-210x.2012.00253.x
© 2012 The Authors. Methods in Ecology and Evolution © 2012 British Ecological Society
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How to Cite
Bradter, U., Kunin, W. E., Altringham, J. D., Thom, T. J., Benton, T. G. (2013), Identifying appropriate spatial scales of predictors in species distribution models with the random forest algorithm. Methods in Ecology and Evolution, 4: 167–174. doi: 10.1111/j.2041-210x.2012.00253.x
Publication History
- Issue published online: 8 FEB 2013
- Article first published online: 16 OCT 2012
- Manuscript Accepted: 29 AUG 2012
- Manuscript Received: 22 APR 2011
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| Filename | Format | Size | Description |
|---|---|---|---|
| mee3253-sup-0001-AppendixS1-S3-TableS1-S2-FigS1-S3.docx | Word document | 2796K | Appendix S1. Survey methodology. Appendix S2. Potential influence of included environmental variables on the focal species. Appendix S3. Description of random forest. Table S1. True and selected scale-specific predictors in simulations. Table S2. Correlations between selected predictors for curlew model. Figure S1. Study area. Figure S2. Histograms of observations with distance from transect. Figure S3. Predicted curlew distribution. |
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