Book Description:
ISBN-13: 9780444538680
Numerical Ecology (3rd Edition) is a comprehensive guide to the field of ecological data analysis using numerical methods. This book covers a wide range of topics including multivariate analysis, spatial analysis, time series analysis, and ecological modeling. The authors provide a detailed overview of the principles and techniques used in numerical ecology, making it an essential resource for researchers, students, and professionals in the field.
The book begins with an introduction to the basic concepts of numerical ecology, including data collection, data management, and statistical analysis. It then delves into more advanced topics such as ordination techniques, cluster analysis, and diversity analysis. The authors also discuss the use of GIS and remote sensing in ecological research, as well as the integration of ecological data with environmental data.
Numerical Ecology (3rd Edition) is filled with practical examples, case studies, and exercises to help readers apply the concepts and techniques discussed in the book. With its clear and accessible writing style, this book is suitable for both beginners and experienced researchers looking to enhance their skills in ecological data analysis.
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.