Book Description:
ISBN-13: 9783319714035
Numerical Ecology with R (2nd Edition) is a comprehensive guide that combines the principles of ecology with the practical application of statistical analysis using the R programming language. This book covers a wide range of topics including data manipulation, visualization, and interpretation in the context of ecological research.
The book begins with an introduction to R programming and basic statistical concepts before delving into more advanced topics such as multivariate analysis, spatial analysis, and ecological modeling. Each chapter includes step-by-step instructions and examples to help readers understand and apply the concepts discussed.
Numerical Ecology with R (2nd Edition) also includes case studies and real-world examples to demonstrate how ecological data can be analyzed and interpreted using R. The book is suitable for both beginners and experienced researchers in the field of ecology, providing a valuable resource for anyone looking to enhance their data analysis skills.
Numerical Ecology with R (2nd Edition) is a practical and informative guide that will help readers gain a deeper understanding of ecological data analysis and how it can be applied to real-world research projects.
This edition retains the full content with the added advantage of portability, allowing readers to easily access and engage with the material from any device, whether in a classroom or during fieldwork.