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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
- Sales Rank: #850969 in Books
- Published on: 2012-08-20
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 7.25" w x 1.50" l, 4.45 pounds
- Binding: Paperback
- 1006 pages
Most helpful customer reviews
0 of 0 people found the following review helpful.
Highly recommended for any users of multivariate analysis
By JVerkuilen
This book is an extraordinary reference that covers many important topics in a lucid way. It's mathematically accurate, though not heavily so, but also has a lot of important "lore" that's missing from many books to allow potential users to bring methods in practice. Just to pick two topics, the chapter on ecological resemblance provides many really useful caveats that prospective users need to know and the treatment of redundancy analysis is similarly lucid and much better than any other description I have read. Highly recommended for anyone who makes use of multivariate analysis techniques in ecology, biology, psychology, sociology, data science, etc. The examples are from ecology but none of them appear to be so heavy that if you don't have an ecology background you couldn't figure out what's going on with a bit of time on Wikipedia. The fact that this is a Third Edition is evident: The text is all quite smooth and clean.
The only worry I have is that a 1000 page paperback might get beat up and fall apart, but I'll take the risk for this quality of content.
3 of 3 people found the following review helpful.
A major reference in te field
By Fred
One of the best balances between a text focused to a non statistician group (ecologists and biologists) and a in deep explanations of mathematical and logical principles of statistics. Major focus in multivariate analysis, but with several important concepts applied to univariate problems in ecology.
0 of 0 people found the following review helpful.
It is a great book I would like it contained complete examples in ...
By Amazon Customer
It is a great book
I would like it contained complete examples in R, as well as r code in the book. But the theory and the explanations to the use of different methods are great and clear.
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