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Numerical Ecology with R cover

Numerical Ecology with R

by Daniel Borcard, François Gillet, Pierre Legendre

2nd Edition

Publisher: Springer

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Ecology

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Book Details

Print ISBN9783319714035
eText ISBN9783319714042
PublisherSpringer
Publishing Year2018
Edition2nd Edition
LanguageEnglish
Pages450

Numerical Ecology with R, 2nd Edition, bridges theoretical numerical ecology and practical data analysis in the R programming environment. The volume provides quantitative methods for researchers and practitioners examining complex multivariate ecological datasets.

Coverage focuses on exploratory data analysis alongside foundational association measures and matrices. The text introduces primary multivariate analytical frameworks, including ordination and cluster analysis, while addressing contemporary ecological questions such as spatial structures.

Intended for graduate students, researchers, practitioners, and instructors who possess prior training in general and multivariate statistics, the text supports hands-on computational workflows in ecology and environmental science. The material also serves as a practical resource for related fields such as agriculture and oceanography.

Table of Contents

  1. Chapter 1: Introduction

  2. Chapter 2: Exploratory Data Analysis

  3. Chapter 3: Association Measures and Matrices

  4. Chapter 4: Cluster Analysis

  5. Chapter 5: Unconstrained Ordination

  6. Chapter 6: Canonical Ordination

  7. Chapter 7: Spatial Analysis of Ecological Data

  8. Chapter 8: Community Diversity

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▶Research Sources (1)
  • Numerical Ecology with R | Springer Nature Link

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