Applied Statistics for Environmental Science with R Book

Applied Statistics for Environmental Science with R


  • Author : Abbas F. M. Al-Karkhi
  • Publisher : Elsevier
  • Release Date : 2019-09-13
  • Genre: Computers
  • Pages : 240
  • ISBN 10 : 9780128186237

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Applied Statistics for Environmental Science with R 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

Applied Statistics in Agricultural  Biological  and Environmental Sciences Book

Applied Statistics in Agricultural Biological and Environmental Sciences


  • Author : Barry Glaz
  • Publisher : John Wiley & Sons
  • Release Date : 2020-01-22
  • Genre: Technology & Engineering
  • Pages : 672
  • ISBN 10 : 9780891183594

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Applied Statistics in Agricultural Biological and Environmental Sciences 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.

Statistical Data Analysis Explained Book

Statistical Data Analysis Explained


  • Author : Clemens Reimann
  • Publisher : John Wiley & Sons
  • Release Date : 2011-08-31
  • Genre: Science
  • Pages : 362
  • ISBN 10 : 9781119965282

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Statistical Data Analysis Explained 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.

Environmental and Ecological Statistics with R Book

Environmental and Ecological Statistics with R


  • Author : Song S. Qian
  • Publisher : CRC Press
  • Release Date : 2016-11-03
  • Genre: Mathematics
  • Pages : 536
  • ISBN 10 : 9781498728737

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Environmental and Ecological Statistics with R 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.

Applied Statistics with R Book

Applied Statistics with R


  • Author : Justin C. Touchon
  • Publisher : Oxford University Press
  • Release Date : 2021
  • Genre: Computers
  • Pages : 334
  • ISBN 10 : 9780198869979

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Applied Statistics with R 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.

Statistics for Geography and Environmental Science Book

Statistics for Geography and Environmental Science


  • Author : Richard Harris
  • Publisher : Routledge
  • Release Date : 2014-05-01
  • Genre: Science
  • Pages : 280
  • ISBN 10 : 9781317904403

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Statistics for Geography and Environmental Science 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.

Environmental and Ecological Statistics with R Book

Environmental and Ecological Statistics with R


  • Author : Song S. Qian
  • Publisher : CRC Press
  • Release Date : 2020-12-18
  • Genre: Uncategoriezed
  • Pages : 536
  • ISBN 10 : 0367736756

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Environmental and Ecological Statistics with R 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.

Statistics and Data with R Book

Statistics and Data with R


  • Author : Yosef Cohen
  • Publisher : John Wiley & Sons
  • Release Date : 2008-11-20
  • Genre: Mathematics
  • Pages : 618
  • ISBN 10 : 9780470721889

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Statistics and Data with R 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.

Statistical Methods in Water Resources Book

Statistical Methods in Water Resources


  • Author : D.R. Helsel
  • Publisher : Elsevier
  • Release Date : 1993-03-03
  • Genre: Mathematics
  • Pages : 546
  • ISBN 10 : 0080875084

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Statistical Methods in Water Resources 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.

Insights from Data with R Book

Insights from Data with R


  • Author : Owen L. Petchey
  • Publisher : Oxford University Press, USA
  • Release Date : 2021-02-25
  • Genre: Mathematics
  • Pages : 272
  • ISBN 10 : 9780198849810

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Insights from Data with R Excerpt :

This accessible and engaging book provides readers with the knowledge, experience, and confidence to work with raw data and unlock essential information (insights) from data summaries and visualisations.

Biometry for Forestry and Environmental Data Book

Biometry for Forestry and Environmental Data


  • Author : Lauri Mehtatalo
  • Publisher : CRC Press
  • Release Date : 2020-05-27
  • Genre: Mathematics
  • Pages : 421
  • ISBN 10 : 9780429530777

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Biometry for Forestry and Environmental Data Excerpt :

Biometry for Forestry and Environmental Data with Examples in R focuses on statistical methods that are widely applicable in forestry and environmental sciences, but it also includes material that is of wider interest. Features: · Describes the theory and applications of selected statistical methods and illustrates their use and basic concepts through examples with forestry and environmental data in R. · Rigorous but easily accessible presentation of the linear, nonlinear, generalized linear and multivariate models, and their mixed-effects counterparts. Chapters on tree size, tree taper, measurement errors, and forest experiments are also included. · Necessary statistical theory about random variables, estimation and prediction is included. The wide applicability of the linear prediction theory is emphasized. · The hands-on examples with implementations using R make it easier for non-statisticians to understand the concepts and apply the methods with their own data. Lot of additional material is available at www.biombook.org. The book is aimed at students and researchers in forestry and environmental studies, but it will also be of interest to statisticians and researchers in other fields as well.

Statistics for Environmental Science and Management  Second Edition Book

Statistics for Environmental Science and Management Second Edition


  • Author : Bryan F.J. Manly
  • Publisher : CRC Press
  • Release Date : 2008-10-21
  • Genre: Mathematics
  • Pages : 310
  • ISBN 10 : 9781439878125

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Statistics for Environmental Science and Management Second Edition Excerpt :

Revised, expanded, and updated, this second edition of Statistics for Environmental Science and Management is that rare animal, a resource that works well as a text for graduate courses and a reference for appropriate statistical approaches to specific environmental problems. It is uncommon to find so many important environmental topics covered in one book. Its strength is author Bryan Manly’s ability to take a non-mathematical approach while keeping essential mathematical concepts intact. He clearly explains statistics without dwelling on heavy mathematical development. The book begins by describing the important role statistics play in environmental science. It focuses on how to collect data, highlighting the importance of sampling and experimental design in conducting rigorous science. It presents a variety of key topics specifically related to environmental science such as monitoring, impact assessment, risk assessment, correlated and censored data analysis, to name just a few. Revised, updated or expanded material on: Data Quality Objectives Generalized Linear Models Spatial Data Analysis Censored Data Monte Carlo Risk Assessment There are numerous books on environmental statistics; however, while some focus on multivariate methods and others on the basic components of probability distributions and how they can be used for modeling phenomenon, most do not include the material on sampling and experimental design that this one does. It is the variety of coverage, not sacrificing too much depth for breadth, that sets this book apart.

Applied Statistics Using R Book

Applied Statistics Using R


  • Author : Mehmet Mehmetoglu
  • Publisher : Sage Publications Limited
  • Release Date : 2021-11-13
  • Genre: Uncategoriezed
  • Pages : 376
  • ISBN 10 : 1526476231

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Applied Statistics Using R Excerpt :

Drawing on real world data to showcase different techniques, this practical book helps you use R for data analysis in your own research.

Handbook of Environmental and Ecological Statistics Book

Handbook of Environmental and Ecological Statistics


  • Author : Alan E. Gelfand
  • Publisher : CRC Press
  • Release Date : 2019-01-15
  • Genre: Mathematics
  • Pages : 679
  • ISBN 10 : 9781351648547

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Handbook of Environmental and Ecological Statistics Excerpt :

This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.

Statistics in Environmental Sciences Book

Statistics in Environmental Sciences


  • Author : Valerie David
  • Publisher : John Wiley & Sons
  • Release Date : 2019-09-04
  • Genre: Social Science
  • Pages : 310
  • ISBN 10 : 9781786305077

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Statistics in Environmental Sciences Excerpt :

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).