Applied Statistics For Environmental Science With R

Download Applied Statistics For Environmental Science With R full books in PDF, epub, and Kindle. Read online Applied Statistics For Environmental Science With R ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Applied Statistics for Environmental Science with R

Author : Abbas F. M. Al-Karkhi
Publisher : Elsevier
ISBN 13 : 0128186232
Total Pages : 240 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Applied Statistics for Environmental Science with R by : Abbas F. M. Al-Karkhi

Download or read book Applied Statistics for Environmental Science with R written by Abbas F. M. Al-Karkhi and published by Elsevier. This book was released on 2019-09-13 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Clemens Reimann
Publisher : John Wiley & Sons
ISBN 13 : 1119965284
Total Pages : 380 pages
Book Rating : 4.1/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Statistical Data Analysis Explained by : Clemens Reimann

Download or read book Statistical Data Analysis Explained written by Clemens Reimann and published by John Wiley & Sons. This book was released on 2011-08-31 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistics for Geography and Environmental Science

Author : Richard Harris
Publisher : Routledge
ISBN 13 : 1317904400
Total Pages : 280 pages
Book Rating : 4.3/5 (179 download)

DOWNLOAD NOW!

Book Synopsis Statistics for Geography and Environmental Science by : Richard Harris

Download or read book Statistics for Geography and Environmental Science written by Richard Harris and published by Routledge. This book was released on 2014-05-01 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applied Statistics in Agricultural, Biological, and Environmental Sciences

Author : Barry Glaz
Publisher : John Wiley & Sons
ISBN 13 : 0891183590
Total Pages : 672 pages
Book Rating : 4.8/5 (911 download)

DOWNLOAD NOW!

Book Synopsis Applied Statistics in Agricultural, Biological, and Environmental Sciences by : Barry Glaz

Download or read book Applied Statistics in Agricultural, Biological, and Environmental Sciences written by Barry Glaz and published by John Wiley & Sons. This book was released on 2020-01-22 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applied Statistics Using R

Author : Mehmet Mehmetoglu
Publisher : SAGE
ISBN 13 : 1529766141
Total Pages : 465 pages
Book Rating : 4.5/5 (297 download)

DOWNLOAD NOW!

Book Synopsis Applied Statistics Using R by : Mehmet Mehmetoglu

Download or read book Applied Statistics Using R written by Mehmet Mehmetoglu and published by SAGE. This book was released on 2021-11-10 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn to use R for data analysis but aren’t sure how to get started, this practical book will help you find the right path through your data. Drawing on real-world data to show you how to use different techniques in practice, it helps you progress your programming and statistics knowledge so you can apply the most appropriate tools in your research. It starts with descriptive statistics and moves through regression to advanced techniques such as structural equation modelling and Bayesian statistics, all with digestible mathematical detail for beginner researchers. The book: Shows you how to use R packages and apply functions, adjusting them to suit different datasets. Gives you the tools to try new statistical techniques and empowers you to become confident using them. Encourages you to learn by doing when running and adapting the authors’ own code. Equips you with solutions to overcome the potential challenges of working with real data that may be messy or imperfect. Accompanied by online resources including screencast tutorials of R that give you step by step guidance and R scripts and datasets for you to practice with, this book is a perfect companion for any student of applied statistics or quantitative research methods courses.

Statistical Methods in Water Resources

Author : D.R. Helsel
Publisher : Elsevier
ISBN 13 : 9780080875088
Total Pages : 546 pages
Book Rating : 4.8/5 (75 download)

DOWNLOAD NOW!

Book Synopsis Statistical Methods in Water Resources by : D.R. Helsel

Download or read book Statistical Methods in Water Resources written by D.R. Helsel and published by Elsevier. This book was released on 1993-03-03 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

EnvStats

Author : Steven P. Millard
Publisher : Springer Science & Business Media
ISBN 13 : 1461484561
Total Pages : 291 pages
Book Rating : 4.4/5 (614 download)

DOWNLOAD NOW!

Book Synopsis EnvStats by : Steven P. Millard

Download or read book EnvStats written by Steven P. Millard and published by Springer Science & Business Media. This book was released on 2013-10-16 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes EnvStats, a new comprehensive R package for environmental statistics and the successor to the S-PLUS module EnvironmentalStats for S-PLUS (first released in 1997). EnvStats and R provide an open-source set of powerful functions for performing graphical and statistical analyses of environmental data, bringing major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along with an extensive hypertext help system that explains what these methods do, how to use these methods, and where to find them in the environmental statistics literature. EnvStats also includes numerous built-in data sets from regulatory guidance documents and the environmental statistics literature. This book shows how to use EnvStats and R to easily: * graphically display environmental data * plot probability distributions * estimate distribution parameters and construct confidence intervals on the original scale for commonly used distributions such as the lognormal and gamma, as well as do this nonparametrically * estimate and construct confidence intervals for distribution percentiles or do this nonparametrically (e.g., to compare to an environmental protection standard) * perform and plot the results of goodness-of-fit tests * compute optimal Box-Cox data transformations * compute prediction limits and simultaneous prediction limits (e.g., to assess compliance at multiple sites for multiple constituents) * perform nonparametric estimation and test for seasonal trend (even in the presence of correlated observations) * perform power and sample size computations and create companion plots for sampling designs based on confidence intervals, hypothesis tests, prediction intervals, and tolerance intervals * deal with non-detect (censored) data * perform Monte Carlo simulation and probabilistic risk assessment * reproduce specific examples in EPA guidance documents EnvStats combined with other R packages (e.g., for spatial analysis) provides the environmental scientist, statistician, researcher, and technician with tools to “get the job done!”

Insights from Data with R

Author : Owen L. Petchey
Publisher : Oxford University Press
ISBN 13 : 0192589733
Total Pages : 272 pages
Book Rating : 4.1/5 (925 download)

DOWNLOAD NOW!

Book Synopsis Insights from Data with R by : Owen L. Petchey

Download or read book Insights from Data with R written by Owen L. Petchey and published by Oxford University Press. This book was released on 2021-02-24 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experiments, surveys, measurements, and observations all generate data. These data can provide useful insights for solving problems, guiding decisions, and formulating strategy. Progressing from relatively unprocessed data to insight, and doing so efficiently, reliably, and confidently, does not come easily, and yet gaining insights from data is a fundamental skill for science as well as many other fields and often overlooked in most textbooks of statistics and data analysis. This accessible and engaging book provides readers with the knowledge, experience, and confidence to work with data and unlock essential information (insights) from data summaries and visualisations. Based on a proven and successful undergraduate course structure, it charts the journey from initial question, through data preparation, import, cleaning, tidying, checking, double-checking, manipulation, and final visualization. These basic skills are sufficient to gain useful insights from data without the need for any statistics; there is enough to learn about even before delving into that world! The book focuses on gaining insights from data via visualisations and summaries. The journey from raw data to insights is clearly illustrated by means of a comprehensive Workflow Demonstration in the book featuring data collected in a real-life study and applicable to many types of question, study, and data. Along the way, readers discover how to efficiently and intuitively use R, RStudio, and tidyverse software, learning from the detailed descriptions of each step in the instructional journey to progress from the raw data to creating elegant and informative visualisations that reveal answers to the initial questions posed. There are an additional three demonstrations online! Insights from Data with R is suitable for undergraduate students and their instructors in the life and environmental sciences seeking to harness the power of R, RStudio, and tidyverse software to master the valuable and prerequisite skills of working with and gaining insights from data.

Applied Statistics with R

Author : Justin C. Touchon
Publisher : Oxford University Press
ISBN 13 : 0198869975
Total Pages : 334 pages
Book Rating : 4.1/5 (988 download)

DOWNLOAD NOW!

Book Synopsis Applied Statistics with R by : Justin C. Touchon

Download or read book Applied Statistics with R written by Justin C. Touchon and published by Oxford University Press. This book was released on 2021 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the 'go-to' stats program throughout the life-sciences. Furthermore, by using a single, real-world dataset throughout the book, readers are encouraged to become deeply familiar with an imperfect but realistic set of data. - -

Environmental and Ecological Statistics with R

Author : Song S. Qian
Publisher : CRC Press
ISBN 13 : 1498728731
Total Pages : 560 pages
Book Rating : 4.4/5 (987 download)

DOWNLOAD NOW!

Book Synopsis Environmental and Ecological Statistics with R by : Song S. Qian

Download or read book Environmental and Ecological Statistics with R written by Song S. Qian and published by CRC Press. This book was released on 2016-11-03 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the approach to solving a statistical problem, covering model specification, parameter estimation, and model evaluation. It includes many examples to illustrate the statistical methods and presents R code for their implementation. The emphasis is on model interpretation and assessment, and using several core examples throughout the book, the author illustrates the iterative nature of statistical inference. The book starts with a description of commonly used statistical assumptions and exploratory data analysis tools for the verification of these assumptions. It then focuses on the process of building suitable statistical models, including linear and nonlinear models, classification and regression trees, generalized linear models, and multilevel models. It also discusses the use of simulation for model checking, and provides tools for a critical assessment of the developed models. The second edition also includes a complete critique of a threshold model. Environmental and Ecological Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers through the process of scientific problem solving and statistical model development, it eases the transition from scientific hypothesis to statistical model.

An R Companion for Applied Statistics I

Author : Danney Rasco
Publisher : SAGE Publications
ISBN 13 : 1071806300
Total Pages : 360 pages
Book Rating : 4.0/5 (718 download)

DOWNLOAD NOW!

Book Synopsis An R Companion for Applied Statistics I by : Danney Rasco

Download or read book An R Companion for Applied Statistics I written by Danney Rasco and published by SAGE Publications. This book was released on 2020-01-28 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: An R Companion for Applied Statistics I: Basic Bivariate Techniques breaks the language of the R software down into manageable chunks in order to help students learn how to use it. R is a powerful, flexible, and free tool. However, the flexibility—which eventually becomes a great asset—can make the initial learning curve appear steep. This book introduces a few key aspects of the R tool. As readers become comfortable with these aspects, they develop a foundation from which to more thoroughly explore R and the packages available for it. This introduction does not explain every possible way to analyze data or perform a specific type of analysis. Rather, it focuses on the analyses that are traditionally included in an undergraduate statistics course and provides one or two ways to run these analyses in R. Datasets and scripts to run the examples are provided on an accompanying website. The book has been designed to be an R companion to Warner′s Applied Statistics I, Third Edition, and includes end-of-chapter instructions for replicating the examples from that book in R. However, this text can also be used as a stand-alone R guide, without reference to the Warner text.

Statistics and Data with R

Author : Yosef Cohen
Publisher : John Wiley & Sons
ISBN 13 : 047072188X
Total Pages : 618 pages
Book Rating : 4.4/5 (77 download)

DOWNLOAD NOW!

Book Synopsis Statistics and Data with R by : Yosef Cohen

Download or read book Statistics and Data with R written by Yosef Cohen and published by John Wiley & Sons. This book was released on 2008-11-20 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical analysis at all levels – from simple to advanced – and in numerous fields including Medicine, Genetics, Biology, Environmental Sciences, Geology, Social Sciences and much more. The software is maintained and developed by academicians and professionals and as such, is continuously evolving and up to date. Statistics and Data with R presents an accessible guide to data manipulations, statistical analysis and graphics using R. Assuming no previous knowledge of statistics or R, the book includes: A comprehensive introduction to the R language. An integrated approach to importing and preparing data for analysis, exploring and analyzing the data, and presenting results. Over 300 examples, including detailed explanations of the R scripts used throughout. Over 100 moderately large data sets from disciplines ranging from Biology, Ecology and Environmental Science to Medicine, Law, Military and Social Sciences. A parallel discussion of analyses with the normal density, proportions (binomial), counts (Poisson) and bootstrap methods. Two extensive indexes that include references to every R function (and its arguments and packages used in the book) and to every introduced concept.

Statistics for Censored Environmental Data Using Minitab and R

Author : Dennis R. Helsel
Publisher : John Wiley & Sons
ISBN 13 : 0470479884
Total Pages : 344 pages
Book Rating : 4.4/5 (74 download)

DOWNLOAD NOW!

Book Synopsis Statistics for Censored Environmental Data Using Minitab and R by : Dennis R. Helsel

Download or read book Statistics for Censored Environmental Data Using Minitab and R written by Dennis R. Helsel and published by John Wiley & Sons. This book was released on 2012-02-01 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition " . . . an excellent addition to an upper-level undergraduate course on environmental statistics, and . . . a 'must-have' desk reference for environmental practitioners dealing with censored datasets." —Vadose Zone Journal Statistics for Censored Environmental Data Using Minitab® and R, Second Edition introduces and explains methods for analyzing and interpreting censored data in the environmental sciences. Adapting survival analysis techniques from other fields, the book translates well-established methods from other disciplines into new solutions for environmental studies. This new edition applies methods of survival analysis, including methods for interval-censored data to the interpretation of low-level contaminants in environmental sciences and occupational health. Now incorporating the freely available R software as well as Minitab® into the discussed analyses, the book features newly developed and updated material including: A new chapter on multivariate methods for censored data Use of interval-censored methods for treating true nondetects as lower than and separate from values between the detection and quantitation limits ("remarked data") A section on summing data with nondetects A newly written introduction that discusses invasive data, showing why substitution methods fail Expanded coverage of graphical methods for censored data The author writes in a style that focuses on applications rather than derivations, with chapters organized by key objectives such as computing intervals, comparing groups, and correlation. Examples accompany each procedure, utilizing real-world data that can be analyzed using the Minitab® and R software macros available on the book's related website, and extensive references direct readers to authoritative literature from the environmental sciences. Statistics for Censored Environmental Data Using Minitab® and R, Second Edition is an excellent book for courses on environmental statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for??environmental professionals, biologists, and ecologists who focus on the water sciences, air quality, and soil science.

Statistics for Earth and Environmental Scientists

Author : John H. Schuenemeyer
Publisher : John Wiley & Sons
ISBN 13 : 1118102215
Total Pages : 341 pages
Book Rating : 4.1/5 (181 download)

DOWNLOAD NOW!

Book Synopsis Statistics for Earth and Environmental Scientists by : John H. Schuenemeyer

Download or read book Statistics for Earth and Environmental Scientists written by John H. Schuenemeyer and published by John Wiley & Sons. This book was released on 2011-04-12 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water. Proper collection and analysis of data using statistical techniques contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems. The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling—all of which are explored through case studies that use real data from earth science applications. Subsequent chapters focus on principles of modeling and the key methods and techniques for analyzing scientific data, including: Interval estimation and Methods for analyzinghypothesis testing of means time series data Spatial statistics Multivariate analysis Discrete distributions Experimental design Most statistical models are introduced by concept and application, given as equations, and then accompanied by heuristic justification rather than a formal proof. Data analysis, model building, and statistical inference are stressed throughout, and readers are encouraged to collect their own data to incorporate into the exercises at the end of each chapter. Most data sets, graphs, and analyses are computed using R, but can be worked with using any statistical computing software. A related website features additional data sets, answers to selected exercises, and R code for the book's examples. Statistics for Earth and Environmental Scientists is an excellent book for courses on quantitative methods in geology, geography, natural resources, and environmental sciences at the upper-undergraduate and graduate levels. It is also a valuable reference for earth scientists, geologists, hydrologists, and environmental statisticians who collect and analyze data in their everyday work.

Statistical Methods for Trend Detection and Analysis in the Environmental Sciences

Author : Richard Chandler
Publisher : John Wiley & Sons
ISBN 13 : 111999196X
Total Pages : 348 pages
Book Rating : 4.1/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Statistical Methods for Trend Detection and Analysis in the Environmental Sciences by : Richard Chandler

Download or read book Statistical Methods for Trend Detection and Analysis in the Environmental Sciences written by Richard Chandler and published by John Wiley & Sons. This book was released on 2011-03-25 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need to understand and quantify change is fundamental throughout the environmental sciences. This might involve describing past variation, understanding the mechanisms underlying observed changes, making projections of possible future change, or monitoring the effect of intervening in some environmental system. This book provides an overview of modern statistical techniques that may be relevant in problems of this nature. Practitioners studying environmental change will be familiar with many classical statistical procedures for the detection and estimation of trends. However, the ever increasing capacity to collect and process vast amounts of environmental information has led to growing awareness that such procedures are limited in the insights that they can deliver. At the same time, significant developments in statistical methodology have often been widely dispersed in the statistical literature and have therefore received limited exposure in the environmental science community. This book aims to provide a thorough but accessible review of these developments. It is split into two parts: the first provides an introduction to this area and the second part presents a collection of case studies illustrating the practical application of modern statistical approaches to the analysis of trends in real studies. Key Features: Presents a thorough introduction to the practical application and methodology of trend analysis in environmental science. Explores non-parametric estimation and testing as well as parametric techniques. Methods are illustrated using case studies from a variety of environmental application areas. Looks at trends in all aspects of a process including mean, percentiles and extremes. Supported by an accompanying website featuring datasets and R code. The book is designed to be accessible to readers with some basic statistical training, but also contains sufficient detail to serve as a reference for practising statisticians. It will therefore be of use to postgraduate students and researchers both in the environmental sciences and in statistics.

Statistics for Environmental Science and Management

Author : Bryan F.J. Manly
Publisher : CRC Press
ISBN 13 : 1439878129
Total Pages : 312 pages
Book Rating : 4.4/5 (398 download)

DOWNLOAD NOW!

Book Synopsis Statistics for Environmental Science and Management by : Bryan F.J. Manly

Download or read book Statistics for Environmental Science and Management written by Bryan F.J. Manly and published by CRC Press. This book was released on 2008-10-21 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting a nonmathematical approach to this topic, Statistics for Environmental Science and Management introduces frequently used statistical methods and practical applications for the environmental field. This second edition features updated references and examples along with new and expanded material on data quality objectives, the generalized linear model, spatial data analysis, and Monte Carlo risk assessment. Additional topics covered include environmental monitoring, impact assessment, censored data, environmental sampling, the role of statistics in environmental science, assessing site reclamation, and drawing conclusions from data.

Environmental Data Analysis

Author : Carsten Dormann
Publisher : Springer Nature
ISBN 13 : 3030550206
Total Pages : 264 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Environmental Data Analysis by : Carsten Dormann

Download or read book Environmental Data Analysis written by Carsten Dormann and published by Springer Nature. This book was released on 2020-12-20 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been “field-tested” in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg.