Analysing Ecological Data

Nearly all the case study chapters are written by former course attendants in cooperation with the authors of this book Provides a complete set of examples of case studies showing how to deal with certain levels of difficulty during the key process of selecting the correct or appropriate statistical [...]
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Nearly all the case study chapters are written by former course attendants in cooperation with the authors of this book Provides a complete set of examples of case studies showing how to deal with certain levels of difficulty during the key process of selecting the correct or appropriate statistical technique 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.