by Matthew Russell (Author)
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 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.
The primary goal of this book is
to learn and apply common statistical methods used in natural resources
by using the R programming language. If you dedicate considerable time
to this book, you will:
- Develop analytical and visualization skills for investigating the behavior of agricultural and natural resources data.
- Become competent in importing, analyzing, and visualizing complex data sets in the R environment.
- Recode, combine, and restructure data sets for statistical analysis and visualization.
- Appreciate probability concepts as they apply to environmental problems.
- Understand common distributions used in statistical applications and inference.
- Summarize data effectively and efficiently for reporting purposes.
- Learn the tasks required to perform a variety of statistical hypothesis tests and interpret their results.
- Understand which modeling frameworks are appropriate for your data and how to interpret predictions.
