Applied Statistics for Environmental Science with R (eBook)

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 data - Presents statistical theory in a simple way without complex mathematical proofs - Shows how to analyze data using R software and provides R scripts for all examples and figures

Abbas F. M. Alkarkhi received his Ph.D. in applied statistics from the University of Science, Malaysia and his BSc and MSc in statistics from University of Baghdad in 1985 and 1992. Dr. Alkarkhi spent fourteen years as a faculty member in the School of Industrial Technology at University of Science, Malaysia (2002-2016), then moved to Kuala Lumpur University (MICET campus). Before joining a Ph.D. study, he worked as a lecturer in Iraq for two years and in Libya for five years. Dr. Alkarkhi has published more than 90 papers in international journals and more than 40 in conferences. He is the author of two books on applied statistics, including Easy Statistics for Food Science with R (Elsevier 2018).

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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 data- Presents statistical theory in a simple way without complex mathematical proofs- Shows how to analyze data using R software and provides R scripts for all examples and figures