This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis, and spatial statistics. The second part provides 17 case studies. The case studies include topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in the book.

Analyzing Ecological Data (Statistics for Biology and Health)

Zuur, Alain

Ieno, Elena N.

Smith, Graham M.

Reference

Springer

Analysing Ecological Data

Zuur, Alain F.

This book discusses advanced statistical methods that can be used to analyse ecological data. Most environmental collected data are measured repeatedly over time, or space and this requires the use of GLMM or GAMM methods. The book starts by revising regression, additive modelling, GAM and GLM, and then discusses dealing with spatial or temporal dependencies and nested data.

Mixed Effects Models and Extensions in Ecology with R (Statistics for Biology and Health)

Computers & Technology

Walker, Neil

Saveliev, Anatoly A.

Software

Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum.

A Beginner's Guide to R (Use R!)

Meesters, Erik

This book uses ecological datasets to discuss data exploration and visualisation tools. The authors also explain how to visualise the results of statistical models, an important aspect for publishing scientific papers. The book includes the R code needed to construct, visualise, and explore the main features of the data step by step.

A Beginner's Guide to Data Exploration and Visualization with R

Highland Statistics Ltd.

This book provides a practical introduction to analyzing ecological data using real data sets. It features 17 case studies covering topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis.

Science & Math

Biological Sciences

Building on their previous book on the subject, the authors provide an expanded introduction to using Regression to analyze ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout.

See the best price to sell, buy, or rent books by Ieno, Elena N.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Ieno, Elena N.

See the best price to sell, buy, or rent books by Ieno, Elena N.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Analyzing Ecological Data (Statistics for Biology and Health)

Analysing Ecological Data

Mixed Effects Models and Extensions in Ecology with R (Statistics for Biology and Health)

A Beginner's Guide to R (Use R!)

A Beginner's Guide to Data Exploration and Visualization with R

Analyzing Ecological Data (Statistics for Biology and Health)

Mixed Effects Models and Extensions in Ecology with R (Statistics for Biology and Health)