Applied Statistics for Environmental Science with R

Applied Statistics for Environmental Science with R
Author: Abbas F. M. Al-Karkhi,Wasin A. A. Alqaraghuli
Publsiher: Elsevier
Total Pages: 240
Release: 2019-09-13
ISBN: 0128186232
Category: Computers
Language: EN, FR, DE, ES & NL

Applied Statistics for Environmental Science with R 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

Applied Statistics in Agricultural Biological and Environmental Sciences

Applied Statistics in Agricultural  Biological  and Environmental Sciences
Author: Barry Glaz,Kathleen M. Yeater
Publsiher: John Wiley & Sons
Total Pages: 672
Release: 2020-01-22
ISBN: 0891183590
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Applied Statistics in Agricultural Biological and Environmental Sciences 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.

Applications of Hypothesis Testing for Environmental Science

Applications of Hypothesis Testing for Environmental Science
Author: Abbas F.M. Alkarkhi
Publsiher: Elsevier
Total Pages: 292
Release: 2020-12-01
ISBN: 0323851878
Category: Science
Language: EN, FR, DE, ES & NL

Applications of Hypothesis Testing for Environmental Science Book Excerpt:

Applications of Hypothesis Testing for Environmental Science presents the theory and application of hypothesis testing in environmental science, allowing researchers to carry out suitable tests for decision-making on a variety of issues. This book works as a step-by-step resource to provide understanding of the concepts and applications of hypothesis testing in the field of environmental science. The tests are presented in simplified form without relying on complex mathematical proofs to allow researchers to easily locate the most appropriate test and apply it to real-world situations. Each example is accompanied by a case study showing the application of the method to realistic data. This book provides step-by-step guidance in analyzing and testing various environmental data for researchers, postgraduates and graduates of environmental sciences, as well as academics looking for a book that includes case studies of the applications of hypothesis testing. It will also be a valuable resource for researchers in other related fields and those who are not familiar with the use of statistics who may need to analyze data or perform hypothesis tests in their research. Includes step-by-step tutorials to aid in the understanding of procedures and allowing implementation of suitable tests Presents the theory of hypothesis testing in a simple yet thorough manner without complex mathematical proofs Describes how to implement hypothesis testing in analyzing and interpretation environmental science data

Statistical Data Analysis Explained

Statistical Data Analysis Explained
Author: Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter
Publsiher: John Wiley & Sons
Total Pages: 362
Release: 2011-08-31
ISBN: 1119965284
Category: Science
Language: EN, FR, DE, ES & NL

Statistical Data Analysis Explained 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.

Data Analysis and Statistics for Geography Environmental Science and Engineering

Data Analysis and Statistics for Geography  Environmental Science  and Engineering
Author: Miguel F. Acevedo
Publsiher: CRC Press
Total Pages: 557
Release: 2012-12-07
ISBN: 1466592214
Category: Mathematics
Language: EN, FR, DE, ES & NL

Data Analysis and Statistics for Geography Environmental Science and Engineering Book Excerpt:

Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustain

Statistics for Censored Environmental Data Using Minitab and R

Statistics for Censored Environmental Data Using Minitab and R
Author: Dennis R. Helsel
Publsiher: John Wiley & Sons
Total Pages: 344
Release: 2011-12-14
ISBN: 1118162765
Category: Mathematics
Language: EN, FR, DE, ES & NL

Statistics for Censored Environmental Data Using Minitab and R 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 Statistical Methods 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.

Spatial Modeling in GIS and R for Earth and Environmental Sciences

Spatial Modeling in GIS and R for Earth and Environmental Sciences
Author: Hamid Reza Pourghasemi,Candan Gokceoglu
Publsiher: Elsevier
Total Pages: 798
Release: 2019-01-18
ISBN: 0128156953
Category: Mathematics
Language: EN, FR, DE, ES & NL

Spatial Modeling in GIS and R for Earth and Environmental Sciences Book Excerpt:

Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography Provides an overview, methods and case studies for each application Expresses concepts and methods at an appropriate level for both students and new users to learn by example

Statistical Methods for Trend Detection and Analysis in the Environmental Sciences

Statistical Methods for Trend Detection and Analysis in the Environmental Sciences
Author: Richard Chandler,Marian Scott
Publsiher: John Wiley & Sons
Total Pages: 388
Release: 2011-03-25
ISBN: 111999196X
Category: Mathematics
Language: EN, FR, DE, ES & NL

Statistical Methods for Trend Detection and Analysis in the Environmental Sciences 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 Second Edition

Statistics for Environmental Science and Management  Second Edition
Author: Bryan F.J. Manly
Publsiher: CRC Press
Total Pages: 310
Release: 2008-10-21
ISBN: 1439878129
Category: Mathematics
Language: EN, FR, DE, ES & NL

Statistics for Environmental Science and Management Second Edition Book 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.

Statistics for Environmental Science and Management Second Edition

Statistics for Environmental Science and Management  Second Edition
Author: Bryan F.J. Manly
Publsiher: CRC Press
Total Pages: 292
Release: 2008-10-21
ISBN: 1420061488
Category: Mathematics
Language: EN, FR, DE, ES & NL

Statistics for Environmental Science and Management Second Edition Book 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.

Who s who in Technology Today

Who s who in Technology Today
Author: Anonim
Publsiher: Unknown
Total Pages: 135
Release: 1982
ISBN: 1928374650XXX
Category: Engineers
Language: EN, FR, DE, ES & NL

Who s who in Technology Today Book Excerpt:

Statistics and Data with R

Statistics and Data with R
Author: Yosef Cohen,Jeremiah Y. Cohen
Publsiher: John Wiley & Sons
Total Pages: 618
Release: 2008-11-20
ISBN: 047072188X
Category: Mathematics
Language: EN, FR, DE, ES & NL

Statistics and Data with R 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.

Recent Advances and Issues in Environmental Science

Recent Advances and Issues in Environmental Science
Author: III, William Hunter
Publsiher: CRC Press
Total Pages: 272
Release: 2011-12-15
ISBN: 1466559896
Category: Science
Language: EN, FR, DE, ES & NL

Recent Advances and Issues in Environmental Science Book Excerpt:

This title includes a number of Open Access chapters.Environmental science integrates physical and biological sciences to the study of the environment, with the goal of solving today's environmental challenges. Many of these challenges tie into a greater concept of using the earth's resources sustainably. This collection brings together some very i

Artificial Intelligence Methods in the Environmental Sciences

Artificial Intelligence Methods in the Environmental Sciences
Author: Sue Ellen Haupt,Antonello Pasini,Caren Marzban
Publsiher: Springer Science & Business Media
Total Pages: 424
Release: 2008-11-28
ISBN: 1402091192
Category: Science
Language: EN, FR, DE, ES & NL

Artificial Intelligence Methods in the Environmental Sciences Book Excerpt:

How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.

Handbook of Environmental and Ecological Statistics

Handbook of Environmental and Ecological Statistics
Author: Alan E. Gelfand,Montserrat Fuentes,Jennifer A. Hoeting,Richard Lyttleton Smith
Publsiher: CRC Press
Total Pages: 854
Release: 2017-09-15
ISBN: 1351648543
Category: Mathematics
Language: EN, FR, DE, ES & NL

Handbook of Environmental and Ecological Statistics Book 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.

Statistical Analysis of Ecotoxicity Studies

Statistical Analysis of Ecotoxicity Studies
Author: John W. Green,Timothy A. Springer,Henrik Holbech
Publsiher: John Wiley & Sons
Total Pages: 416
Release: 2018-07-04
ISBN: 1119488826
Category: Science
Language: EN, FR, DE, ES & NL

Statistical Analysis of Ecotoxicity Studies Book Excerpt:

A guide to the issues relevant to the design, analysis, and interpretation of toxicity studies that examine chemicals for use in the environment Statistical Analysis of Ecotoxicity Studies offers a guide to the design, analysis, and interpretation of a range of experiments that are used to assess the toxicity of chemicals. While the book highlights ecotoxicity studies, the methods presented are applicable to the broad range of toxicity studies. The text contains myriad datasets (from laboratory and field research) that clearly illustrate the book's topics. The datasets reveal the techniques, pitfalls, and precautions derived from these studies. The text includes information on recently developed methods for the analysis of severity scores and other ordered responses, as well as extensive power studies of competing tests and computer simulation studies of regression models that offer an understanding of the sensitivity (or lack thereof) of various methods and the quality of parameter estimates from regression models. The authors also discuss the regulatory process indicating how test guidelines are developed and review the statistical methodology in current or pending OECD and USEPA ecotoxicity guidelines. This important guide: Offers the information needed for the design and analysis to a wide array of ecotoxicity experiments and to the development of international test guidelines used to assess the toxicity of chemicals Contains a thorough examination of the statistical issues that arise in toxicity studies, especially ecotoxicity Includes an introduction to toxicity experiments and statistical analysis basics Includes programs in R and excel Covers the analysis of continuous and Quantal data, analysis of data as well as Regulatory Issues Presents additional topics (Mesocosm and Microplate experiments, mixtures of chemicals, benchmark dose models, and limit tests) as well as software Written for directors, scientists, regulators, and technicians, Statistical Analysis of Ecotoxicity Studies provides a sound understanding of the technical and practical issues in designing, analyzing, and interpreting toxicity studies to support or challenge chemicals for use in the environment.

Statistical Methods in Water Resources

Statistical Methods in Water Resources
Author: Dennis R. Helsel,Stacey Anne Archfield,Edward J. Gilroy,Karen R. Ryberg,Robert M. Hirsch
Publsiher: Unknown
Total Pages: 522
Release: 2020
ISBN: 9781411343481
Category: Hydrology
Language: EN, FR, DE, ES & NL

Statistical Methods in Water Resources Book Excerpt:

This document, updated in 2020 as a USGS "Techniques and Methods Report," is intended to be a text in applied statistics for hydrology, environmental science, environmental engineering, geology, or biology that addresses distinctive features of environmental data. This new version contains updated graphics and updated guidance on the use of statistical techniques. The text utilizes R, a programming language and open-source software environment, for all exercises and most graphics, and the R code used to generate figures and examples is provided for download (see link to website).

geoENV II Geostatistics for Environmental Applications

geoENV II     Geostatistics for Environmental Applications
Author: Jaime Gómez-Hernández,A.O. Soares,Roland Froidevaux
Publsiher: Springer Science & Business Media
Total Pages: 562
Release: 2013-11-27
ISBN: 9401592977
Category: Science
Language: EN, FR, DE, ES & NL

geoENV II Geostatistics for Environmental Applications Book Excerpt:

The Second European Conference on Geostatistics for Environmental Ap plications took place in Valencia, November 18-20, 1998. Two years have past from the first meeting in Lisbon and the geostatistical community has kept active in the environmental field. In these days of congress inflation, we feel that continuity can only be achieved by ensuring quality in the papers. For this reason, all papers in the book have been reviewed by, at least, two referees, and care has been taken to ensure that the reviewer comments have been incorporated in the final version of the manuscript. We are thankful to the members of the scientific committee for their timely review of the scripts. All in all, there are three keynote papers from experts in soil science, climatology and ecology and 43 contributed papers providing a good indication of the status of geostatistics as applied in the environ mental field all over the world. We feel now confident that the geoENV conference series, seeded around a coffee table almost six years ago, will march firmly into the next century.

Management of Contaminated Site Problems Second Edition

Management of Contaminated Site Problems  Second Edition
Author: Kofi Asante-Duah
Publsiher: CRC Press
Total Pages: 598
Release: 2019-04-12
ISBN: 0429584466
Category: Science
Language: EN, FR, DE, ES & NL

Management of Contaminated Site Problems Second Edition Book Excerpt:

This book outlines the strategies used in the investigation, characterization, management, and restoration and remediation for various contaminated sites. It draws on real-world examples from across the globe to illustrate remediation techniques and discusses their applicability. It provides guidance for the successful corrective action assessment and response programs for any type of contaminated land problem, and at any location. The systematic protocols presented will aid environmental professionals in managing contaminated land and associated problems more efficiently. This new edition adds twelve new chapters, and is fully updated and expanded throughout.

A Handbook of Applied Statistics in Pharmacology

A Handbook of Applied Statistics in Pharmacology
Author: Katsumi Kobayashi,K. Sadasivan Pillai
Publsiher: CRC Press
Total Pages: 230
Release: 2012-10-18
ISBN: 1466515406
Category: Mathematics
Language: EN, FR, DE, ES & NL

A Handbook of Applied Statistics in Pharmacology Book Excerpt:

Statistics plays an important role in pharmacology and related subjects such as toxicology and drug discovery and development. Improper statistical tool selection for analyzing the data obtained from studies may result in wrongful interpretation of the performance or safety of drugs. This book communicates statistical tools in simple language. The