Canonical non-symmetrical correspondence analysis: an alternative in constrained ordination
Canonical non-symmetrical correspondence analysis is developed as an alternative method for constrained ordination, relating external information (e.g., environmental variables) with ecological data, considering species abundance as dependant on sites. Ordination axes are restricted to be linear com...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2008 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2099/8941 |
| Acceso en línea: | https://hdl.handle.net/2099/8941 |
| Access Level: | acceso abierto |
| Palabra clave: | Multivariate analysis Mathematical statistics Biplot Canonical correspondence analysis Non-symmetrical correspondence analysis Anàlisi multivariable Estadística matemàtica--Aplicacions Classificació AMS::62 Statistics::62H Multivariate analysis Classificació AMS::62 Statistics::62P Applications Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| Sumario: | Canonical non-symmetrical correspondence analysis is developed as an alternative method for constrained ordination, relating external information (e.g., environmental variables) with ecological data, considering species abundance as dependant on sites. Ordination axes are restricted to be linear combinations of the environmental variables, based on the information of the most abundant species. This extension and its associated unconstrained ordination method are terms of a global model that permits an empirical evaluation of the impact that the environmental variables have on the community composition. Scores, contributions, qualities of representation, interpretation of dispersion graphs and an application to real vegetation data are presented. |
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