The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Comparing five modelling techniques for predicting forest characteristics
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Citations
Cites
A Coefficient of Agreement for Nominal Scales
Cohen, J. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000104 · Cited by 42,398
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Gordon, A. D., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984) · Biometrics · doi:10.2307/2530946 · Cited by 23,522
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 20,825
Brown, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Biometrics · doi:10.2307/2532174 · Cited by 8,176
Multivariate Adaptive Regression Splines
Friedman, J. H. (1991) · The Annals of Statistics · doi:10.1214/aos/1176347963 · Cited by 8,000
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
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Pattern Recognition and Neural Networks
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Guisan, A., Edwards, T. C., & Hastie, T. (2002) · Ecological Modelling · doi:10.1016/s0304-3800(02)00204-1 · Cited by 2,356
Cited by
Novel methods improve prediction of species’ distributions from occurrence data
Elith*, J., H. Graham*, C., P. Anderson, R., Dudík, M., Ferrier, S., Guisan, A., J. Hijmans, R., Huettmann, F., R. Leathwick, J., Lehmann, A., et al. (2006) · Ecography · doi:10.1111/j.2006.0906-7590.04596.x · Cited by 9,088
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
Elith, J., & Leathwick, J. R. (2009) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.110308.120159 · Cited by 6,707
Selecting thresholds of occurrence in the prediction of species distributions
Liu, C., Berry, P. M., Dawson, T. P., & Pearson, R. G. (2005) · Ecography · doi:10.1111/j.0906-7590.2005.03957.x · Cited by 2,701
Effects of sample size on the performance of species distribution models
Wisz, M. S., Hijmans, R. J., Li, J., Peterson, A. T., Graham, C. H., Guisan, A., & NCEAS Predicting Species Distributions Working Group (2008) · Diversity and Distributions · doi:10.1111/j.1472-4642.2008.00482.x · Cited by 2,514
Prasad, A. M., Iverson, L. R., & Liaw, A. (2006) · Ecosystems · doi:10.1007/s10021-005-0054-1 · Cited by 1,987
Metadata
- Authors
- Moisen, G. G., & Frescino, T. S.
- Venue
- Ecological Modelling
- Publisher
- Elsevier BV
- Published
- 2002-11
- Volume
- 157
- Issue
- 2-3
- Pages
- 209-225
- ISSN
- 0304-3800 (ISSN-L)
- OpenAlex
- W1999659160
- Cited by
- 458
- References
- 24
- FWCI
- 21.25
- 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.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Comparing five modelling techniques for predicting forest characteristics. https://app.cochat.ai/papers/10.1016/s0304-3800(02)00197-7
- The paper
- Moisen, G. G., & Frescino, T. S. (2002). Comparing five modelling techniques for predicting forest characteristics. Ecological Modelling. https://doi.org/10.1016/s0304-3800(02)00197-7
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.
