Introductory Multivariate Statistics for the Environmental Science

After first providing a broad overview of what multivariate statistics is, the book goes on to cover topics such as measurements of ecological diversity, linear regression, ordination, principal components analysis, correspondence analysis, ...

Author: Peter J. A. Shaw

Publisher: Wiley

ISBN: 0470689234

Category: Mathematics

Page: 244

View: 746

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"This book introduces the most commonly used techniques for dealing with multivariate data; the sort of multi-species multi-chemical data sets that are routinely encountered in environmental investigations. It assumes no prior knowledge of multivariate analyses and requires no mathematics beyond simple linear equations."--Back Cover.

Excel 2010 for Environmental Sciences Statistics

This is the first book to show the capabilities of Microsoft Excel to teach environmental sciences statistics effectively.

Author: Thomas J. Quirk

Publisher: Springer

ISBN: 3319239694

Category: Mathematics

Page: 246

View: 242

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This is the first book to show the capabilities of Microsoft Excel to teach environmental sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental sciences problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2010 for Environmental Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

Models for Ecological Data

Through an available lab manual, the book introduces readers to the practical work of data modeling and computation in the language R. Based on a successful course at Duke University and National Science Foundation-funded institutes on ...

Author: James S. Clark

Publisher: Princeton University Press

ISBN: 9780691220123

Category: Science

Page: 632

View: 140

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The environmental sciences are undergoing a revolution in the use of models and data. Facing ecological data sets of unprecedented size and complexity, environmental scientists are struggling to understand and exploit powerful new statistical tools for making sense of ecological processes. In Models for Ecological Data, James Clark introduces ecologists to these modern methods in modeling and computation. Assuming only basic courses in calculus and statistics, the text introduces readers to basic maximum likelihood and then works up to more advanced topics in Bayesian modeling and computation. Clark covers both classical statistical approaches and powerful new computational tools and describes how complexity can motivate a shift from classical to Bayesian methods. Through an available lab manual, the book introduces readers to the practical work of data modeling and computation in the language R. Based on a successful course at Duke University and National Science Foundation-funded institutes on hierarchical modeling, Models for Ecological Data will enable ecologists and other environmental scientists to develop useful models that make sense of ecological data. Consistent treatment from classical to modern Bayes Underlying distribution theory to algorithm development Many examples and applications Does not assume statistical background Extensive supporting appendixes Lab manual in R is available separately

Statistics for Geography and Environmental Science

This textbook is aimed at students on a degree course taking a module in statistics for the first time.

Author: Richard Harris

Publisher: Prentice Hall

ISBN: 0131789333

Category: Science

Page: 262

View: 870

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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.

Excel 2016 for Environmental Sciences Statistics

This book shows the capabilities of Microsoft Excel in teaching environmental science statistics effectively.

Author: Thomas J. Quirk

Publisher: Springer

ISBN: 9783319400570

Category: Mathematics

Page: 252

View: 595

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This book shows the capabilities of Microsoft Excel in teaching environmental science statistics effectively. Similar to the previously published Excel 2013 for Environmental Sciences Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t the reader’s strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Environmental Sciences Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

Practical Statistics for Environmental and Biological Scientists

Starting from basics, this book carefully introduces those statistical methods and techniques that all students and researchers need to know. Written in an accessible style, the book divides into two parts.

Author: John Townend

Publisher: John Wiley & Sons

ISBN: 0471496650

Category: Science

Page: 276

View: 818

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All students and researchers in environmental and biological sciences require statistical methods at some stage of their work. Many have a preconception that statistics are difficult and unpleasant and find that the textbooks available are difficult to understand. Practical Statistics for Environmental and Biological Scientists provides a concise, user-friendly, non-technical introduction to statistics. The book covers planning and designing an experiment, how to analyse and present data, and the limitations and assumptions of each statistical method. The text does not refer to a specific computer package but descriptions of how to carry out the tests and interpret the results are based on the approaches used by most of the commonly used packages, e.g. Excel, MINITAB and SPSS. Formulae are kept to a minimum and relevant examples are included throughout the text.

Practical Environmental Statistics and Data Analysis

"Describes the application of statistical methods in different environmental fields, with an emphasis on how to solve real-world problems in complex systems"--Provided by publisher.

Author: Yue Rong

Publisher: ILM Publications

ISBN: 9781906799045

Category: NATURE

Page: 269

View: 528

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"Describes the application of statistical methods in different environmental fields, with an emphasis on how to solve real-world problems in complex systems"--Provided by publisher.

Statistics for Earth and Environmental Scientists

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.

Author: John Schuenemeyer

Publisher: Wiley

ISBN: 0470584696

Category: Mathematics

Page: 420

View: 150

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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.

Applied Statistics in Agricultural Biological and Environmental Sciences

IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.

Author: Barry Glaz

Publisher: John Wiley & Sons

ISBN: 9780891183594

Category: Technology & Engineering

Page: 672

View: 378

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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.

Statistics in Environmental Sciences

The R software is both a computer programming language and a working environment for statistical data processing. It is used to manipulate data, plot graphs and perform statistical analyses on these data. Among its advantages, R is: – a ...

Author: Valerie David

Publisher: John Wiley & Sons

ISBN: 9781119649731

Category: Social Science

Page: 310

View: 994

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Statistical tools are indispensable for the environmental sciences. They have become an integral part of the scientific process, from the development of the sampling plan to the obtainment of results. Statistics in Environmental Sciences provides the foundation for the interpretation of quantitative data (basic vocabulary, main laws of probabilities, etc.) and the thinking behind sampling and experimental methodology. It also introduces the principles of statistical tests such as decision theory and examines the key choices in statistical tests, while keeping the established objectives in mind. The book examines the most used statistics in the field of environmental sciences. Detailed descriptions based on concrete examples are given, as well as descriptions obtained through the use of the free software R (whose usage is also presented).

Statistical Data Analysis Explained

Few books on statistical data analysis in the natural sciences arewritten at a level that a non-statistician will easily understand.This is a book written in colloquial language, avoidingmathematical formulae as much as possible, trying to ...

Author: Clemens Reimann

Publisher: Wiley

ISBN: 047098581X

Category: Science

Page: 362

View: 535

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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 in Genetics and in the Environmental Sciences

This book grew out of a workshop on statistics in the sciences held on Monte VeritA, Switzerland, in the spring of 1999. It offers a snapshot of the role played by statistics in genetics and in the environmental sciences.

Author: Luisa Turrin Fernholz

Publisher:

ISBN: 0817665757

Category: Science

Page: 183

View: 403

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This book grew out of a workshop on statistics in the sciences held on Monte VeritA, Switzerland, in the spring of 1999. It offers a snapshot of the role played by statistics in genetics and in the environmental sciences. A few papers dwell on genetic topics, others deal with risk assessment, in particular involving exposure to chemicals. Pollution is addressed in a survey of problems relating to atmospheric chemistry, and in an article on space debris. The collection finally presents several contributions on modern statistical methods in the sciences.The book will be particularly useful for statisticians who wish to be informed about the use of their methods in the sciences. They will also find a variety of open problems with explanations and solutions. On the other hand, the book does not require a high degree of expertise in statistics and can, on the whole, be read profitably by researchers in genetics and environmetrics.

Statistical Methods for Trend Detection and Analysis in the Environmental Sciences

Manly, B. F. J. (1994) Multivariate Statistical Methods: A Primer, 2nd edition. Chapman & Hall/CRC, Boca Raton, Florida. Manly, B. F. J. (2001) Statistics for Environmental Science and Management. Chapman and Hall/CRC, Boca Raton, ...

Author: Richard Chandler

Publisher: John Wiley & Sons

ISBN: 9781119991960

Category: Mathematics

Page: 388

View: 288

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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.

Geostatistics for Environmental Scientists

Subject areas covered include medicine and pharmaceutics; industry, finance and commerce; public services; the earth and environmental sciences, and so on. The books also provide support to students studying statistical courses applied ...

Author: Richard Webster

Publisher: John Wiley & Sons

ISBN: 0470517263

Category: Mathematics

Page: 330

View: 724

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Geostatistics is essential for environmental scientists. Weather and climate vary from place to place, soil varies at every scale at which it is examined, and even man-made attributes – such as the distribution of pollution – vary. The techniques used in geostatistics are ideally suited to the needs of environmental scientists, who use them to make the best of sparse data for prediction, and top plan future surveys when resources are limited. Geostatistical technology has advanced much in the last few years and many of these developments are being incorporated into the practitioner’s repertoire. This second edition describes these techniques for environmental scientists. Topics such as stochastic simulation, sampling, data screening, spatial covariances, the variogram and its modeling, and spatial prediction by kriging are described in rich detail. At each stage the underlying theory is fully explained, and the rationale behind the choices given, allowing the reader to appreciate the assumptions and constraints involved.

Probability and Statistics Applications for Environmental Science

Environmental sciences--Statistical methods. I. Theodore, Louis. II. Title. GE45.S73S46 2006 363.7001'5195--dc22 2006050889 Visit the Taylor & Francis Web site at http://www.taylorandfrancis.com and the CRC Press Web site at ...

Author: Stacey J Shaefer

Publisher: CRC Press

ISBN: 9781000654066

Category: Mathematics

Page: 367

View: 713

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Simple, clear, and to the point, Probability and Statistics Applications for Environmental Science delineates the fundamentals of statistics, imparting a basic understanding of the theory and mechanics of the calculations. User-friendliness, uncomplicated explanations, and coverage of example applications in the environmental field set this book ap

Environmental Statistics

The chapters in this volume, which are specially prepared by several outstanding professionals involved in statistics and the environment, discuss the current state of the art in diverse areas of environmental statistics.

Author: G. R. Patil

Publisher: North-Holland

ISBN: UOM:39015032144639

Category: Mathematics

Page: 927

View: 631

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The question of what environmental statistics is about is particularly important when it comes to the formulation of relevant research and training, whether in academia, agencies, or industries. This volume aims to give a new perception on the subject with some examples that are of concern and interest today. Environmental statistics is in a take-off stage both for reasons of societal challenge and statistical opportunity, and is demanding more and more from non-traditional and innovative statistical approaches. The chapters in this volume, which are specially prepared by several outstanding professionals involved in statistics and the environment, discuss the current state of the art in diverse areas of environmental statistics. The volume provides new perspectives and problems for future research, training, policy and regulation. It will be valuable to researchers, teachers, consultants and graduate students in statistics, environmental statistics, statistical ecology, and quantitative environmental sciences in academia, industries, governmental agencies, laboratories and libraries.