Applied Statistics for Environmental Science with R

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Release : 2019-09-13
Genre : Computers
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Book Rating : 232/5 ( reviews)

Applied Statistics for Environmental Science with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Statistics for Environmental Science with R write by Abbas F. M. Al-Karkhi. This book was released on 2019-09-13. Applied Statistics for Environmental Science with R available in PDF, EPUB and Kindle. 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

Statistical Data Analysis Explained

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Release : 2011-08-31
Genre : Science
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Book Rating : 284/5 ( reviews)

Statistical Data Analysis Explained - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Data Analysis Explained write by Clemens Reimann. This book was released on 2011-08-31. Statistical Data Analysis Explained available in PDF, EPUB and Kindle. Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. To use the book efficiently, readers should have some computer experience. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. These data are characterised by including locations (geographic coordinates), which leads to the necessity of using maps to display the data and the results of the statistical methods. Although the book uses examples from applied geochemistry, and a large geochemical survey in particular, the principles and ideas equally well apply to other natural sciences, e.g., environmental sciences, pedology, hydrology, geography, forestry, ecology, and health sciences/epidemiology. The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the S-language for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the R-scripts are provided in the form of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book.

Applied Statistics in Agricultural, Biological, and Environmental Sciences

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Release : 2020-01-22
Genre : Technology & Engineering
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Book Rating : 590/5 ( reviews)

Applied Statistics in Agricultural, Biological, and Environmental Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Statistics in Agricultural, Biological, and Environmental Sciences write by Barry Glaz. This book was released on 2020-01-22. Applied Statistics in Agricultural, Biological, and Environmental Sciences available in PDF, EPUB and Kindle. Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.

Statistical Methods in Water Resources

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Release : 1993-03-03
Genre : Science
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Book Rating : 084/5 ( reviews)

Statistical Methods in Water Resources - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Methods in Water Resources write by D.R. Helsel. This book was released on 1993-03-03. Statistical Methods in Water Resources available in PDF, EPUB and Kindle. Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources. The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies. The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.

Statistics for Geography and Environmental Science

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Release : 2014-05-01
Genre : Science
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Book Rating : 400/5 ( reviews)

Statistics for Geography and Environmental Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistics for Geography and Environmental Science write by Richard Harris. This book was released on 2014-05-01. Statistics for Geography and Environmental Science available in PDF, EPUB and Kindle. Statistics are important tools for validating theory, making predictions and engaging in policy research. They help to provide informed commentary about social and environmental issues, and to make the case for change. Knowledge of statistics is therefore a necessary skill for any student of geography or environmental science. This textbook is aimed at students on a degree course taking a module in statistics for the first time. It focuses on analysing, exploring and making sense of data in areas of core interest to physical and human geographers, and to environmental scientists. It covers the subject in a broadly conventional way from descriptive statistics, through inferential statistics to relational statistics but does so with an emphasis on applied data analysis throughout.