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Cited by 724

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Generalized additive models in plant ecology

Yee, Thomas W., Mitchell, Neil D.·1991·Journal of Vegetation Science

Abstract

Abstract. Generalized additive models (GAMs) are a non‐parametric extension of generalized linear models (GLMs). They are introduced here as an exploratory tool in the analysis of species distributions with respect to climate. An important result is that the long‐debated question of whether a response curve, in one dimension, is actually symmetric and bell‐shaped or not, can be tested using GAMs. GAMs and GLMs are discussed and are illustrated by three examples using binary data. A grey‐scale plot of one of the fits is constructed to indicate which areas on a map seem climatically suitable for that species. This is useful for species introductions. Further applications are mentioned.

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Metadata

Authors
Yee, T. W., & Mitchell, N. D.
Venue
Journal of Vegetation Science
Publisher
Wiley
Published
1991-10
Volume
2
Issue
5
Pages
587-602
ISSN
  • 1100-9233 (ISSN-L)
  • 1654-1103
OpenAlex
W1985414380
Cited by
724
References
3
FWCI
5.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Generalized additive models in plant ecology. https://app.cochat.ai/papers/10.2307/3236170
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Yee, T. W., & Mitchell, N. D. (1991). Generalized additive models in plant ecology. Journal of Vegetation Science. https://doi.org/10.2307/3236170

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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.