| Analysing Ecological Data (Statistics for Biology and Health) |  | Authors: Alain F. Zuur, Elena N. Ieno, Graham M. Smith
Publisher: Springer
Category: Book
List Price: $99.00
Buy New: $73.20
as of 9/9/2010 07:50 CDT details
New (24) Used (13) from $67.00
Seller: oddesseyy
Rating:  2 reviews
Sales Rank: 211,148
Media: Hardcover
Edition: 1
Pages: 672
Number Of Items: 1
Shipping Weight (lbs): 2.2
Dimensions (in): 9.3 x 6 x 1.5
ISBN: 0387459677
Dewey Decimal Number: 577.015195
EAN: 9780387459677
Publication Date: May 3, 2007
Availability: Usually ships in 1-2 business days
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Product Description
This book provides a practical introduction to analysing ecological data using real data sets collected as part of postgraduate ecological studies or research projects. The first part of the book gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modelling techniques), multivariate analysis, time series analysis (e.g. common trends) and spatial statistics. The second part provides 17 case studies, mainly written together with biologists who attended courses given by the first authors. The case studies include topics ranging from terrestrial ecology to marine biology. The case studies can be used as a template for your own data analysis; just try to find a case study that matches your own ecological questions and data structure, and use this as starting point for you own analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in Chapter 2.
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| Customer Reviews:
Practical, readable introduction to statistical modeling January 3, 2009
BlueDaisy (Northern US)
5 out of 5 found this review helpful
I searched for some introductory materials on mixed modeling and additive modeling and stumbled on this book by mistake. Lucky find!
For readers who need to use various types of models for practical problems in ecology or other sciences, including linear mixed models and additive models, this text is extremely useful and highly readable. The strength of this text is the manner in which the reader is guided through differing approaches to make good statistical decisions.
The authors present a wide range of approaches for analyzing ecological data using case studies. They approach their topic as would a practicing statistician - "first do this; if you find this result, here are your options and the advantages or disadvantages of each." It's almost like having a consultant at your fingertips. They offer step by step analyses of different ecological data sets using different types of regression (linear, logistic, etc.), additive models, tree models, multivariate models, factor analysis, time series, spatial analysis, and others. Mathematics and theory are covered lightly. Even though I am not in ecology, it was easy to apply these approaches to my non-ecological data.
Since every software is different, sometimes the output can be confusing. Consequently, it's very helpful that these authors include interpretations of output and plots. They point the reader to important features that lead to appropriate statistical decision-making. Highly recommended.
Well written great examples October 28, 2007
Alfredo A. Rios (Peru-US)
2 out of 3 found this review helpful
I bought this book after seeing it at my University library. It gives a good
intro to several types of analysis and is well written and approachable. I really like the step by step analysis guides given (with the examples) in the second half of the book.
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