Numerical ecology / Pierre Legendre and Louis Legendre.

Por: Legendre, Pierre, 1946-Colaborador(es): Legendre, Louis [coaut.]Tipo de material: TextoTextoIdioma: Inglés Lenguaje original: Francés Series Developments in environmental modelling ; 24Detalles de publicación: Amsterdam ; Boston : Elsevier, 2012Edición: 3rd edDescripción: xvi, 990 p. : il. ; 24 cmISBN: 9780444538680 (pbk.); 9780444538697 (electronic bk.)Tema(s): Ecology -- Mathematics | Ecología -- Matemáticas | Ciencias del ambiente -- MatemáticasClasificación LoC:QH541.15.M34 | L4313 2012Recursos en línea: Haga clic para acceso en líneaTexto Resumen: The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. An updated, 3rd English edition of the most widely cited book on quantitative analysis of multivariate ecological data. Relates ecological questions to methods of statistical analysis, with a clear description of complex numerical methods. All methods are illustrated by examples from the ecological literature so that ecologists clearly see how to use the methods and approaches in their own research. All calculations are available in R language functions.
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Revision of: Ecologie numérique / Louis Legendre. 1983.

Traducción de: Écologie numérique.

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The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. An updated, 3rd English edition of the most widely cited book on quantitative analysis of multivariate ecological data. Relates ecological questions to methods of statistical analysis, with a clear description of complex numerical methods. All methods are illustrated by examples from the ecological literature so that ecologists clearly see how to use the methods and approaches in their own research. All calculations are available in R language functions.

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