Numerical Ecology - Jean Louis Valentin

Numerical Ecology - Jean Louis Valentin

Numerical Ecology: A Comprehensive Guide to Ecological Data Analysis

Numerical ecology is a rapidly developing field that uses mathematical and statistical techniques to analyze ecological data. This book provides a comprehensive introduction to numerical ecology, covering a wide range of topics, from data collection and management to multivariate analysis and modeling.

Why Read This Book?

  • Learn the latest techniques in numerical ecology. This book covers the latest advances in numerical ecology, including machine learning, artificial intelligence, and big data analysis.
  • Gain a deeper understanding of ecological data. Numerical ecology can help you to identify patterns and relationships in ecological data that would be difficult or impossible to see with traditional methods.
  • Make better decisions about environmental management. Numerical ecology can help you to make informed decisions about environmental management, such as how to protect endangered species, manage natural resources, and mitigate the impacts of climate change.

What You'll Learn

  • Data collection and management. Learn how to collect and manage ecological data, including data on species abundance, environmental conditions, and spatial relationships.
  • Multivariate analysis. Learn how to use multivariate analysis techniques to identify patterns and relationships in ecological data.
  • Modeling. Learn how to build models of ecological systems, and use these models to predict the effects of environmental change.

Who Should Read This Book?

This book is ideal for students, researchers, and practitioners in the fields of ecology, environmental science, and natural resource management. It is also a valuable resource for anyone interested in learning more about the latest advances in numerical ecology.

Table of Contents

  • Part I: Introduction to Numerical Ecology
    • Chapter 1: What is Numerical Ecology?
    • Chapter 2: The History of Numerical Ecology
    • Chapter 3: The Role of Numerical Ecology in Ecology
  • Part II: Data Collection and Management
    • Chapter 4: Data Collection Methods
    • Chapter 5: Data Management
    • Chapter 6: Data Quality Control
  • Part III: Multivariate Analysis
    • Chapter 7: Introduction to Multivariate Analysis
    • Chapter 8: Principal Component Analysis
    • Chapter 9: Cluster Analysis
    • Chapter 10: Discriminant Analysis
  • Part IV: Modeling
    • Chapter 11: Introduction to Modeling
    • Chapter 12: Linear Regression
    • Chapter 13: Logistic Regression
    • Chapter 14: Generalized Linear Models
  • Part V: Applications of Numerical Ecology
    • Chapter 15: Numerical Ecology in Conservation Biology
    • Chapter 16: Numerical Ecology in Natural Resource Management
    • Chapter 17: Numerical Ecology in Climate Change Research

Conclusion

Numerical ecology is a powerful tool that can help us to understand the natural world and make better decisions about environmental management. This book provides a comprehensive introduction to numerical ecology, covering a wide range of topics, from data collection and management to multivariate analysis and modeling. If you are interested in learning more about numerical ecology, this book is a must-read.