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Multivariate Analysis of Ecological Data using CANOCO

Lepš, Jan, Šmilauer, Petr·2003·Cambridge University Press eBooks

Abstract

This book is primarily written for ecologists needing to analyse data resulting from field observations and experiments. It will be particularly useful for students and researchers dealing with complex ecological problems, such as the variation of biotic communities with environmental conditions or the response of biotic communities to experimental manipulation. Following a simple introduction to ordination methods, the text focuses on constrained ordination methods (RDA, CCA) and the use of permutation tests on statistical hypotheses of multivariate data. An overview of classification methods, or modern regression methods (GLM, GAM, loess), is provided and guidance on the correct interpretation of ordination diagrams is given. Seven case studies of varying difficulty help to illustrate the suggested analytical methods, using the Canoco for Windows software. The case studies utilise both the descriptive and manipulative approaches, and they are supported by data sets and project files available from the book website.

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Metadata

Authors
Lepš, J., & Šmilauer, P.
Venue
Cambridge University Press eBooks
Published
2003-05-29
OpenAlex
W1516370651
Cited by
4,554
References
0
FWCI
50.61
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Multivariate Analysis of Ecological Data using CANOCO. https://app.cochat.ai/papers/10.1017/cbo9780511615146
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Lepš, J., & Šmilauer, P. (2003). Multivariate Analysis of Ecological Data using CANOCO. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511615146

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.