The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Evaluating the ability of habitat suitability models to predict species presences
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
A review of methods for the assessment of prediction errors in conservation presence/absence models
FIELDING, A. H., & BELL, J. F. (1997) · Environmental Conservation · doi:10.1017/s0376892997000088 · Cited by 6,956
Cited by
Habitat suitability modelling and niche theory
Hirzel, A. H., & Le Lay, G. (2008) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2008.01524.x · Cited by 873
Self-citationValavi, R., Guillera‐Arroita, G., Lahoz‐Monfort, J. J., & Elith, J. (2022) · Ecological Monographs · doi:10.1002/ecm.1486 · Cited by 830
Melo-Merino, S. M., Reyes-Bonilla, H., & Lira-Noriega, A. (2020) · Ecological Modelling · doi:10.1016/j.ecolmodel.2019.108837 · Cited by 555
PresenceAbsence : An R Package for Presence Absence Analysis
Freeman, E. A., & Moisen, G. (2008) · Journal of Statistical Software · doi:10.18637/jss.v023.i11 · Cited by 461
Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling
Sillero, N., Arenas-Castro, S., Enriquez‐Urzelai, U., Vale, C. G., Sousa-Guedes, D., Martínez-Freiría, F., Real, R., & Barbosa, A. M. (2021) · Ecological Modelling · doi:10.1016/j.ecolmodel.2021.109671 · Cited by 456
Metadata
- Authors
- Hirzel, A. H., Le Lay, G., Helfer, V., Randin, C., & Guisan, A.
- Venue
- Ecological Modelling
- Publisher
- Elsevier BV
- Published
- 2006-11
- Volume
- 199
- Issue
- 2
- Pages
- 142-152
- ISSN
- 0304-3800 (ISSN-L)
- OpenAlex
- W2156632553
- Cited by
- 1,631
- References
- 2
- FWCI
- 15.88
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
