The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
A review of assessing the accuracy of classifications of remotely sensed data
Congalton, R. G. (1991) · Remote Sensing of Environment · doi:10.1016/0034-4257(91)90048-b · Cited by 7,724
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
ALLOUCHE, O., TSOAR, A., & KADMON, R. (2006) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2006.01214.x · Cited by 5,172
Hernandez, P. A., Graham, C. H., Master, L. L., & Albert, D. L. (2006) · Ecography · doi:10.1111/j.0906-7590.2006.04700.x · Cited by 2,534
Evaluating the predictive performance of habitat models developed using logistic regression
Pearce, J., & Ferrier, S. (2000) · Ecological Modelling · doi:10.1016/s0304-3800(00)00322-7 · Cited by 2,002
Greiner, M., Pfeiffer, D., & Smith, R. D. (2000) · Preventive Veterinary Medicine · doi:10.1016/s0167-5877(00)00115-x · Cited by 1,923
Evaluating presence–absence models in ecology: the need to account for prevalence
Manel, S., Williams, H. C., & Ormerod, S. J. (2001) · Journal of Applied Ecology · doi:10.1046/j.1365-2664.2001.00647.x · Cited by 1,759
Evaluating the ability of habitat suitability models to predict species presences
Hirzel, A. H., Le Lay, G., Helfer, V., Randin, C., & Guisan, A. (2006) · Ecological Modelling · doi:10.1016/j.ecolmodel.2006.05.017 · Cited by 1,631
McPHERSON, J. M., JETZ, W., & ROGERS, D. J. (2004) · Journal of Applied Ecology · doi:10.1111/j.0021-8901.2004.00943.x · Cited by 547
Cited by
Selecting thresholds for the prediction of species occurrence with presence‐only data
Liu, C., White, M., & Newell, G. (2013) · Journal of Biogeography · doi:10.1111/jbi.12058 · Cited by 1,613
Global soil pollution by toxic metals threatens agriculture and human health
Hou, D., Jia, X., Wang, L., McGrath, S. P., Zhu, Y.-G., Hu, Q., Zhao, F.-J., Bank, M. S., O’Connor, D., & Nriagu, J. (2025) · Science · doi:10.1126/science.adr5214 · Cited by 1,016
Jiménez‐Valverde, A. (2012) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2011.00683.x · Cited by 803
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
Zhang, G., Wang, M., & Liu, K. (2019) · International Journal of Disaster Risk Science · doi:10.1007/s13753-019-00233-1 · Cited by 341
Metadata
- Authors
- Freeman, E. A., & Moisen, G. G.
- Venue
- Ecological Modelling
- Publisher
- Elsevier BV
- Published
- 2008-09
- Volume
- 217
- Issue
- 1-2
- Pages
- 48-58
- ISSN
- 0304-3800 (ISSN-L)
- OpenAlex
- W2103919309
- Cited by
- 578
- References
- 18
- FWCI
- 7.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa. https://app.cochat.ai/papers/10.1016/j.ecolmodel.2008.05.015
- The paper
- Freeman, E. A., & Moisen, G. G. (2008). A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa. Ecological Modelling. https://doi.org/10.1016/j.ecolmodel.2008.05.015
Data sources
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.
