Russell Matthew. Statistics in Natural Resources: Applications with R

Chapman and Hall/CRC, 2023. — 355 p. — ISBN ISBN 9781032259543.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 focus on the application of statistical analyses in the environmental, agricultural, and natural resources disciplines. This is a book well suited for current or aspiring natural resource professionals who are required to analyze data and perform statistical analyses in their daily work. More seasoned professionals who have previously had a course or two in statistics will also find the content familiar. This text can also serve as a bridge between professionals who understand statistics and want to learn how to perform analyses on natural resources data in R.Visualizing Data.
Summary statistics and distributions.
Probability.
Hypothesis tests for means and variances.
Inference for counts and proportions.
Inference for two-way tables.
Sample size and statistical power.
Linear regression.
Multiple regression.
Analysis of variance.
Analysis of covariance.
Logistic regression.
Count regression.
Linear mixed models.
Communicating statistical results with visualizations.