Analysing Ecological Data (Statistics for Biology and Health)
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Publication
2007-05-03 - Springer
Language
English
Word Count
168,000 words, Guess
Page Count
672 pages
Identifiers
- Open LibraryOL7445875M
- ISBN-139780387459677
- ISBN-100387459677
- OCLC Control Number77256580
- OCLC Control Numberanalysingecologi00zuur_398
and 2 more
- Library of Congress Control Number2006933720
- Goodreads1151051
Classifications
- LCCQH541.15.S72 Z88 2007
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.
Subjects
Other Editions
- Analysing Ecological Data (Statistics for Biology and Health)
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