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Numerical Ecology, 2nd Edition (Developments in Environmental Modelling, Vol. 20) Paperback – December 9, 1998

ISBN-13: 978-0444892508 ISBN-10: 0444892508 Edition: 2nd

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Product Details

  • Series: Developments in Environmental Modelling (Book 24)
  • Paperback: 853 pages
  • Publisher: Elsevier Science; 2 edition (December 9, 1998)
  • Language: English
  • ISBN-10: 0444892508
  • ISBN-13: 978-0444892508
  • Product Dimensions: 10 x 7 x 2.2 inches
  • Shipping Weight: 3.3 pounds
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #1,683,695 in Books (See Top 100 in Books)

Editorial Reviews

Review

D.H. Cushing
...The text is well written and very clear, it is so clear that the reader is seduced to read further; I found myself happily reading page after page. The authors are masters of their subject and as they delineate it, from chapter to chapter, they define it. At every corner of the text there is an 'ecological application' and this is useful in revealing the limits and advantages of a method.
Journal of Plankton Research, Volume 21, Number 7
M.J. Anderson
...The first English edition of Numerical Ecology appeared in 1983. It was already an important reference for multi-dimensional analysis in ecology, providing the most comprehensive explanations of matrix algebra, eigenanalysis, measures of association (similarity and dissimilarity), cluster analysis and ordination for ecology. The new edition is much more than this. The last 15 years have seen an explosion of new statistical non-parametric methods, particularly permutation methods, and computer programs that have made the analysis of 'misbehaving' data more possible than ever before. This new edition of Numerical Ecology provides a very impressive overview of these complex new methods. It still provides an (up-dated) summary of the fundamentals of measures of association, clustering and ordination, but it also provides a plethora of new material, consistent with the recent explosion of new methods. It is comprehensive in the sheer quantity of the new methods it covers, such as cluster analysis with spatial contiguity constraints, multivariate Mantel tests for spatial autocorrelation, redundancy analysis and permutation tests for complex linear models. It is, without a doubt, the most extensive current review of the most up-to-date multivariate numerical techniques in experimental ecology. Along with providing understandable introductions to and examples of these new methods, it is a great source to access the primary literature on these topics. This is especially important because many of the numerical methods useful to ecologists come from advances in other fields, such as agriculture, economics, psychology, archaeology, sociology, physics, geology, geography or from other branches of biology, such as genetics, taxonomy, morphometrics.... This book provides a superb line of access for those who approach complex statistics with a weary heart. Have you never understood an eigenvalue before? Look here! It also provides an exceptional up-to-date reference for the experts...This book offers ecologists the means to make the most of their numerical methods, particularly for descriptive multi-dimensional analysis. My prediction: it will take more than ten years for the rest of us to catch up to this book, to explore its information content and the many non-parametric approaches to unique situations. It is a 'must-have' reference for any researcher or graduate student studying multivariate ecological systems.
Journal of Experimental Marine Biology and Ecology, Volume 239
E.K. Duursma
...Considerable appraisal has to be given on the extensiveness of the subjects treated, the clear presentations with i.e. helpful indications in the margin, clear figures and tables, all demonstrating the thoroughness with which the authors have prepared this second English edition. The fact that previous English and French editions, even if much less extensive than the second English edition, were published, shows that students and scientists around the world are interested in in-depth studies of numerical ecology.
Oceanologica Acta
P. Bourgeron
...one of those few books that is worth every page it is written on. It is truly a monumental work, both in its size (853 pages) and thematic content. It is an ambitious and timely overview of the quantitative analysis of ecological data at a time when the increasing availability of computer programs makes choosing among the dizzying number of techniques a confusing task. Clearly, Pierre and Louis Legendre have produced an excellent book on numerical ecology.(...)The book is well produced, with few errors. It will be essential reading for ecologists, whether beginners or seasoned professionals, who conduct quantitative analyses of ecological and environmental data. This book can be used at several levels, from an introduction, to the in-depth teaching/reading of the topics covered.
Arctic, Antarctic, and Alpine Research, Vol. 32/2
R.J. Wootton
...This volume made me wish that I taught a course for which it was the recommended textbook. It is a lucid guide to a particular area of quantitative biology. The book is devoted to numerical methods that can be used for the analysis of multidimensional data, particularly the sort of data collected in studies of assemblages of organisms. The outstanding feature of the book is the clarity with which these methods are described. As someone who has fought a losing battle with techniques such as the terrible twins Decorana and Twinspan, this book was a revelation. Anyone who is concerned with analysing fish assemblages and the relationships between assemblage composition and environmental characteristics should find this book valuable....It should sit alongside Underwood's Experiments in Ecology (CUP, 1997) on the desk of any ecologist who undertakes quantitative field studies.
Journal of Fish Biology
J. Podani
...The main message of this review is that this volume should not be absent from the bookshelf of any quantitatively minded community ecologist.
Journal of Classification

Language Notes

Text: English, French (translation) --This text refers to an out of print or unavailable edition of this title.

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14 of 15 people found the following review helpful By A Customer on May 25, 1999
Format: Paperback
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!
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3 of 3 people found the following review helpful By J. Doudna on October 4, 2005
Format: Paperback
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.
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2 of 2 people found the following review helpful By Tito on November 4, 2005
Format: Paperback Verified Purchase
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.
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