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Analyzing Ecological Data

Jezik EngleskiEngleski
Knjiga Tvrdi uvez
Knjiga Analyzing Ecological Data Alain F. Zuur
Libristo kod: 01284578
Nakladnici Springer-Verlag New York Inc., svibanj 2007
This book provides a practical introduction to analysing ecological data using real data sets collec... Cijeli opis
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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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Informacije o knjizi

Puni naziv Analyzing Ecological Data
Autor Alain F. Zuur
Jezik Engleski
Uvez Knjiga - Tvrdi uvez
Datum izdanja 2007
Broj stranica 672
EAN 9780387459677
ISBN 0387459677
Libristo kod 01284578
Nakladnici Springer-Verlag New York Inc.
Težina 1204
Dimenzije 173 x 242 x 47

Kategorija

Medicine & Nursing > Medicine: general issues > Medical equipment & techniques > Medical research
Medicine & Nursing > Medicine: general issues > Public health & preventive medicine > Epidemiology & medical statistics
Mathematics & Science > Biology, life sciences > Life sciences: general issues > Ecological science, the Biosphere
Reference, Information & Interdisciplinary subjects > Research & information: general > Research methods: general
Mathematics & Science > Mathematics > Probability & statistics
Earth Sciences, Geography, Environment, Planning > The environment > Applied ecology
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