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Download Numerical Ecology (Developments in Environmental Modelling, 3) (English and French Edition) fb2

by Louis Legendre

Download Numerical Ecology (Developments in Environmental Modelling, 3) (English and French Edition) fb2
Author: Louis Legendre
ISBN: 0444421572
Language: English French
Pages: 419 pages
Category: Science & Mathematics
Publisher: Elsevier Science Ltd (March 1, 1983)
Rating: 4.5
Formats: azw doc docx mbr
FB2 size: 1845 kb | EPUB size: 1551 kb | DJVU size: 1798 kb
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Series: Developments in Environmental Modelling (Book 24).

Series: Developments in Environmental Modelling (Book 24).

Developments in Environmental Modelling. Clearly, Pierre and Louis Legendre have produced an excellent book on numerical ecology. The book is well produced, with few errors.

View all volumes in this series: Developments in Environmental Modelling. ce:Oceanologica Acta :P.

Developments in Environmental Modelling is a renowned book series . Published: 3rd July 2012 Authors: P. Legendre Loic Legendre.

Developments in Environmental Modelling is a renowned book series that saw its first volume appear in 1981.

Developments in environmental modelling; 24). - Re. . 07-962. Webographie: . 63-968.

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New Biological Books. Expanded Translation from the French. Developments in Environmental Modelling, Volume 3. Louis Legendre, Pierre Legendre, S. E. Jorgensen. Peter A. Jumars, "Numerical Ecology.

Developments in Environmental Modelling, 20 Numerical Ecology .

Klopatek, 1981 2. WATER MANAGEMENT MODELS IN PRACTICE: A CASE STUDY OF THE ASWAN HIGH DAM by D. Whittington and G. Guariso, 1983 3. NUMERICAL ECOLOGY by L. Legendre and P. Legendre, 1983 .

Developments in Numerical Ecology

Developments in Numerical Ecology. How we measure 'reads'. Developments in Numerical Ecology. D. Borcard, F. Gillet, P. Legendre: Numerical Ecology with R. June 2012 · Journal of Agricultural Biological and Environmental Statistics.

The book describes and discusses the numerical methods which are successfully being used for . Series: Developments in Environmental Modelling 20. File: PDF, . 9 MB. Читать онлайн.

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.

Comments (3)
This is the best book on numerical ecology available. Legendre & Legendre are already a classical on communities data analysis, and this second edition is a fundamental update. The book should be always around when you are analysing complex data sets and want a correct method and a valid interpretation. This is not the usual book of biostatistics, and a good background knowledge on basic univariate statistics is essential. It has also a good introduction on the calculations involved in multivariate analysis, that must be read in order to follow the rest of the book. It covers in detail many multivariate methods a discuss also its applications and drawbacks. If you look for an instrumental "cookbook" style, look somewhere else, but if you want to really understand basic multivariate analysis, this is your book.
This is THE TEXT to have if you use any of the numerical techniques in the field of quantitative ecology. Its scope if exhaustively comprehensive. The authors clearly explain which methods are at your disposal under given circumstances and which are inappropriate to use. Many of the methods described are illustrated with case studies of ecological examples from the literature. In most cases, the authors walk you thru the computational steps involved in using a particular numerical method--this would make it possible for the reader to construct a "home grown" algorithm for methods unavailable in "off-the-shelf" statistical packages. In addition, the book is also thankfully littered with citations and references for those computer programs that are available for each of the methods described...this is very up-to-date material, as many of these references are web sites!
A great resource for graduate level and above. This book is comprehensive in terms of numerical ecology and is for the more advanced quantitative ecologist. My area of interest is site similarity indices, and I have only begun to tap into the knowledge available in this book on the subject. I am sure I will be returning to it repeatedly through the years.