The book "Numerical Ecology with R" (Second Edition) is authored by Daniel Borcard, François Gillet, and Pierre Legendre, and is part of the "Use R!" series. The book aims to bridge the gap between theory and practice in numerical ecology, a field that often struggles with the integration of statistical methods into ecological research. It emphasizes the importance of using mathematical tools and R, a programming language, to better understand and analyze ecological data. The authors highlight the evolution of numerical ecology and the role of R in making statistical methods accessible and practical for ecologists. The book covers various topics, including exploratory data analysis, association measures, cluster analysis, unconstrained ordination, canonical ordination, spatial analysis, and community diversity. Each chapter provides a comprehensive overview of the methods, their applications, and practical examples using R. Key features of the book include: - Detailed explanations of statistical concepts and methods. - Practical exercises and data sets to help readers apply the methods. - Modern R packages and functions to facilitate data analysis. - A focus on the development of mathematically inclined ecologists to enhance the practical application of statistical methods in ecological research. The book is designed to be a valuable resource for both educators and researchers in the field of ecology, providing a bridge between theoretical knowledge and practical application.The book "Numerical Ecology with R" (Second Edition) is authored by Daniel Borcard, François Gillet, and Pierre Legendre, and is part of the "Use R!" series. The book aims to bridge the gap between theory and practice in numerical ecology, a field that often struggles with the integration of statistical methods into ecological research. It emphasizes the importance of using mathematical tools and R, a programming language, to better understand and analyze ecological data. The authors highlight the evolution of numerical ecology and the role of R in making statistical methods accessible and practical for ecologists. The book covers various topics, including exploratory data analysis, association measures, cluster analysis, unconstrained ordination, canonical ordination, spatial analysis, and community diversity. Each chapter provides a comprehensive overview of the methods, their applications, and practical examples using R. Key features of the book include: - Detailed explanations of statistical concepts and methods. - Practical exercises and data sets to help readers apply the methods. - Modern R packages and functions to facilitate data analysis. - A focus on the development of mathematically inclined ecologists to enhance the practical application of statistical methods in ecological research. The book is designed to be a valuable resource for both educators and researchers in the field of ecology, providing a bridge between theoretical knowledge and practical application.