Applied Statistics for Environmental Science with R

Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems.

Includes step-by-step tutorials to aid in understanding the process and implementation of unique dataPresents statistical theory in a simple way without complex mathematical proofsShows how to analyze data using R software and provides R scripts for all examples and figures

1. Multivariate Data 2. R Statistical Software 3. Statistical Notions 4. Measures of Center and Variation 5. Statistical Hypothesis Testing 6. Multivariate Analysis of Variance 7. Regression Analysis 8. Principal Components 9. Factor Analysis 10. Discriminant Analysis 11. Clustering Approaches