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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. Alain Zuur is senior statistician and director of Highland Statistics Ltd., a statistical consultancy company based in the UK. He has contributed to a wide range of projects related to marine biology, oceanography, ecology, fisheries, etc. and has extensive experience teaching statistics to ecologists and environmental scientists in the form of academic and non-academic courses. He is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK. Elena Ieno is senior marine biologist at Highland Statistics Ltd. In 2004 she left academia to work full time in statistical consultancy. She now teaches statistics to ecologists and has shown she can bridge the gap between the two disciplines and dispel the dread of statistics shown by most biologists. She is also involved in various international statistical consultancy projects, and is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK. Graham M. Smith is a Senior Lecturer at Bath Spa University in the UK where he teaches statistics to biology undergraduates. He has a background in ecological consultancy, and continues to provide consultancy on the design and analysis of ecological monitoring programmes and the development of quantitative methods in Ecological Impact Assessment.

Ecology --- 57.087.1 --- 574.08 --- 57.087.1 Biometry. Statistical study and treatment of biological data --- Biometry. Statistical study and treatment of biological data --- Statistical methods --- Ecological techniques. Experimental methods. Equipment --- Statistics. --- Statistical analysis --- Statistical data --- Statistical science --- Mathematics --- Econometrics --- Statistical methods. --- Environmental Sciences and Forestry. Ecology -- Ecology (General). --- ecology --- data collection --- Data analysis --- Ecologie --- Méthodes statistiques --- EPUB-LIV-FT LIVBIOLO SPRINGER-B --- Ecology - Statistical methods --- Écologie. --- Méthodes statistiques

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Building on the successful Analysing Ecological Data (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research. These chapters provide an invaluable insight into analysing complex ecological datasets, including comparisons of different approaches to the same problem. By matching ecological questions and data structure to a case study, these chapters provide an excellent starting point to analysing your own data. Data and R code from all chapters are available from www.highstat.com. Alain F. Zuur is senior statistician and director of Highland Statistics Ltd., a statistical consultancy company based in the UK. He has taught statistics to more than 5000 ecologists. He is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK. Elena N. Ieno is senior marine biologist and co-director at Highland Statistics Ltd. She has been involved in guiding PhD students on the design and analysis of ecological data. She is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK. Neil J. Walker works as biostatistician for the Central Science Laboratory (an executive agency of DEFRA) and is based at the Woodchester Park research unit in Gloucestershire, South-West England. His work involves him in a number of environmental and wildlife biology projects. Anatoly A. Saveliev is a professor at the Geography and Ecology Faculty at Kazan State University, Russian Federation, where he teaches GIS and statistics. He also provides consultancy in statistics, GIS & Remote Sensing, spatial modelling and software development in these areas. Graham M. Smith is a director of AEVRM Ltd, an environmental consultancy in the UK and the course director for the MSc in ecological impact assessment at Bath Spa University in the UK.

Ecology --- R (Computer program language) --- Ecologie --- R (Langage de programmation) --- Statistical methods --- Méthodes statistiques --- EPUB-LIV-FT LIVBIOLO LIVBIOMO LIVMEDEC SPRINGER-B --- R (Computer program language). --- Environmental Sciences and Forestry. Ecology -- Ecology (General). --- Statistical methods. --- Mathematical statistics --- Simulation models --- Mathematical models --- Linear models --- Computer software --- ecology --- case studies --- Data analysis --- Ecology. --- Statistics. --- Environmental sciences. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Math. Appl. in Environmental Science. --- Monitoring/Environmental Analysis. --- Environmental science --- Science --- Statistical analysis --- Statistical data --- Statistical science --- Mathematics --- Econometrics --- Balance of nature --- Biology --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- Environmental sciences --- Population biology --- 57.087.1 --- 574 --- 681.3*I63 --- 574 General ecology. Biocoenology. Hydrobiology. Biogeography --- General ecology. Biocoenology. Hydrobiology. Biogeography --- 681.3*I63 Applications (Simulation and modeling) --- Applications (Simulation and modeling) --- 57.087.1 Biometry. Statistical study and treatment of biological data --- Biometry. Statistical study and treatment of biological data --- GNU-S (Computer program language) --- Domain-specific programming languages --- Ecology . --- Statistics . --- Environmental monitoring. --- Biomonitoring (Ecology) --- Ecological monitoring --- Environmental quality --- Monitoring, Environmental --- Applied ecology --- Environmental engineering --- Pollution --- Measurement --- Monitoring --- Ecology - Statistical methods --- Écologie --- Sciences de la vie --- Modèles écologiques. --- Life sciences --- Statistics as Topic. --- Méthodes statistiques. --- Méthodes statistiques --- Mathématiques --- methods. --- R --- Simulation models. --- Mathematical models. --- Linear models. --- Computer software. --- ecology. --- case studies. --- Data analysis. --- Life sciences. --- Biometry. --- Biostatistics. --- Mathematical Applications in Environmental Science. --- Environmental Monitoring. --- Mathematics. --- Biological statistics --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics

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Mathematics --- Biomathematics. Biometry. Biostatistics --- General ecology and biosociology --- Environmental protection. Environmental technology --- medische statistiek --- milieukunde --- biostatistiek --- ecologie --- biometrie --- wiskunde --- milieutechnologie