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How to make biological surveys go further with generalised linear models
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Citations
Cited by
Predictive habitat distribution models in ecology
Guisan, A., & Zimmermann, N. E. (2000) · Ecological Modelling · doi:10.1016/s0304-3800(00)00354-9 · Cited by 7,359
Guisan, A., Edwards, T. C., & Hastie, T. (2002) · Ecological Modelling · doi:10.1016/s0304-3800(02)00204-1 · Cited by 2,356
WHAT IS THE OBSERVED RELATIONSHIP BETWEEN SPECIES RICHNESS AND PRODUCTIVITY?
Mittelbach, G. G., Steiner, C. F., Scheiner, S. M., Gross, K. L., Reynolds, H. L., Waide, R. B., Willig, M. R., Dodson, S. I., & Gough, L. (2001) · Ecology · doi:10.1890/0012-9658(2001)082[2381:witorb]2.0.co;2 · Cited by 1,650
Thuiller, W., Araújo, M. B., & Lavorel, S. (2003) · Journal of Vegetation Science · doi:10.1111/j.1654-1103.2003.tb02199.x · Cited by 359
Classification trees: An alternative non‐parametric approach for predicting species distributions
Vayssières, M. P., Plant, R. E., & Allen‐Diaz, B. H. (2000) · Journal of Vegetation Science · doi:10.2307/3236575 · Cited by 339
Metadata
- Authors
- Nicholls, A. O.
- Venue
- Biological Conservation
- Publisher
- Elsevier BV
- Published
- 1989
- Volume
- 50
- Issue
- 1-4
- Pages
- 51-75
- ISSN
- 0006-3207 (ISSN-L)
- OpenAlex
- W2037965300
- Cited by
- 318
- References
- 0
- FWCI
- 7.31
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: How to make biological surveys go further with generalised linear models. https://app.cochat.ai/papers/10.1016/0006-3207(89)90005-0
- The paper
- Nicholls, A. O. (1989). How to make biological surveys go further with generalised linear models. Biological Conservation. https://doi.org/10.1016/0006-3207(89)90005-0
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.