1st Edition

Statistics in Natural Resources Applications with R

By Matthew Russell Copyright 2023
354 Pages 125 Color Illustrations
by Chapman & Hall

354 Pages 125 Color Illustrations
by Chapman & Hall

354 Pages 125 Color Illustrations
by Chapman & Hall

To manage our environment sustainably, professionals must understand the quality and quantity of our natural resources. Statistical analysis provides information that supports management decisions and is universally used across scientific disciplines. Statistics in Natural Resources: Applications with R focuses on the application of statistical analyses in the environmental, agricultural, and... Read more

List of Tables

List of Figures

Preface

Chapter 1 Visualizing Data

Chapter 2 Summary statistics and distributions

Chapter 3 Probability

Chapter 4 Hypothesis tests for means and variances

Chapter 5 Inference for counts and proportions

Chapter 6 Inference for two-way tables

Chapter 7 Sample size and statistical power

Chapter 8 Linear regression

Chapter 9 Multiple regression

Chapter 10 Analysis of variance

Chapter 11 Analysis of covariance

Chapter 12 Logistic regression

Chapter 13 Count regression

Chapter 14 Linear mixed models

Chapter 15 Communicating statistical results with visualizations

Appendix

Biography

Matthew Russell is a forest analytics consultant at Arbor Custom Analytics LLC where he uses data to solve natural resources problems. He is the author/co-author of more than 75 peer-reviewed publications focused on applied forestry research. He has conducted extensive research and teaching on topics related to forest modeling and statistics. He regularly offers short courses and workshops on data science and R for natural resources and environmental professionals.