Analysing ecological data

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.

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Detalhes bibliográficos
Principais autores: Zuur, Alain F. autor/a, Ieno, Elena N. autor/a, Smith, Graham M. autor/a
Formato: Texto biblioteca
Idioma:eng
Publicado em: New York Springer Science c200
Assuntos:Ecología, Métodos estadísticos,
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