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Data Treatment In Environmental Sciences

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Data Treatment in Environmental Sciences

Data Treatment in Environmental Sciences Book
Author : Valérie David
Publisher : Elsevier
Release : 2017-05-25
ISBN : 0081023464
Language : En, Es, Fr & De

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Book Description :

Data Treatment in Environmental Sciences presents the various methods used in the analysis of databases—obtained in the field or in a laboratory—by focusing on the most commonly used multivariate analyses in different disciplines of environmental sciences, from geochemistry to ecology. The book examines the principles, application conditions and implementation (in R software) of various analyses before interpreting them. The wide variety of analyses presented allows users to treat datasets, both large and small, which are often limited in terms of available processing techniques. The approach taken by the author details (i) the preparation of a dataset prior to analysis, in relation to the scientific strategy and objectives of the study, (ii) the preliminary treatment of datasets, (iii) the establishment of a structure of objects (stations/dates) or relevant variables (e.g. physicochemical, biological), and (iv) how to highlight the explanatory parameters of these structures (e.g. how the physico-chemistry influences the biological structure obtained). Proposes tools that can be used to deal with environmental data Insists on the adequacy between the scientific objectives and the types of analyses Present mathematical principles without going into detail Offers a wide range of important analyses

Environmental Data Analysis

Environmental Data Analysis Book
Author : Zhihua Zhang
Publisher : Walter de Gruyter GmbH & Co KG
Release : 2016-11-21
ISBN : 3110424908
Language : En, Es, Fr & De

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Book Description :

Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern quantitative tools and techniques designed specifically to meet the needs of environmental sciences and related fields. This book has an impressive coverage of the scope. Main techniques described in this book are models for linear and nonlinear environmental systems, statistical & numerical methods, data envelopment analysis, risk assessments and life cycle assessments. These state-of-the-art techniques have attracted significant attention over the past decades in environmental monitoring, modeling and decision making. Environmental Data Analysis explains carefully various data analysis procedures and techniques in a clear, concise, and straightforward language and is written in a self-contained way that is accessible to researchers and advanced students in science and engineering. This is an excellent reference for scientists and engineers who wish to analyze, interpret and model data from various sources, and is also an ideal graduate-level textbook for courses in environmental sciences and related fields. Contents: Preface Time series analysis Chaos and dynamical systems Approximation Interpolation Statistical methods Numerical methods Optimization Data envelopment analysis Risk assessments Life cycle assessments Index

Introduction to Environmental Data Analysis and Modeling

Introduction to Environmental Data Analysis and Modeling Book
Author : Moses Eterigho Emetere,Esther Titilayo Akinlabi
Publisher : Springer Nature
Release : 2020-01-03
ISBN : 3030362078
Language : En, Es, Fr & De

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Book Description :

This book introduces numerical methods for processing datasets which may be of any form, illustrating adequately computational resolution of environmental alongside the use of open source libraries. This book solves the challenges of misrepresentation of datasets that are relevant directly or indirectly to the research. It illustrates new ways of screening datasets or images for maximum utilization. The adoption of various numerical methods in dataset treatment would certainly create a new scientific approach. The book enlightens researchers on how to analyse measurements to ensure 100% utilization. It introduces new ways of data treatment that are based on a sound mathematical and computational approach.

Statistical Data Analysis Explained

Statistical Data Analysis Explained Book
Author : Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter
Publisher : John Wiley & Sons
Release : 2011-08-31
ISBN : 1119965284
Language : En, Es, Fr & De

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Book Description :

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.

Artificial Intelligence and Data Science in Environmental Sensing

Artificial Intelligence and Data Science in Environmental Sensing Book
Author : Mohsen Asadnia,Amir Razmjou,Amin Beheshti
Publisher : Academic Press
Release : 2022-02-24
ISBN : 0323905072
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications. Presents tools, connections and proactive solutions to take sustainability programs to the next level Offers a practical guide for making students proficient in modern electronic data analysis and graphics Provides knowledge and background to develop specific platforms related to environmental sensing, including control water, air and soil quality, water and wastewater treatment, desalination, pollution mitigation/control, and resource management and recovery

Environmental Geochemistry

Environmental Geochemistry Book
Author : Benedetto DeVivo,Harvey Belkin,Annamaria Lima
Publisher : Elsevier
Release : 2017-09-18
ISBN : 044464007X
Language : En, Es, Fr & De

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Book Description :

Environmental Geochemistry: Site Characterization, Data Analysis and Case Histories, Second Edition, reviews the role of geochemistry in the environment and details state-of-the-art applications of these principles in the field, specifically in pollution and remediation situations. Chapters cover both philosophy and procedures, as well as applications, in an array of issues in environmental geochemistry including health problems related to environment pollution, waste disposal and data base management. This updated edition also includes illustrations of specific case histories of site characterization and remediation of brownfield sites. Covers numerous global case studies allowing readers to see principles in action Explores the environmental impacts on soils, water and air in terms of both inorganic and organic geochemistry Written by a well-respected author team, with over 100 years of experience combined Includes updated content on: urban geochemical mapping, chemical speciation, characterizing a brownsfield site and the relationship between heavy metal distributions and cancer mortality

Spatial Data Analysis in the Social and Environmental Sciences

Spatial Data Analysis in the Social and Environmental Sciences Book
Author : Robert Haining
Publisher : Cambridge University Press
Release : 1993-08-26
ISBN : 9780521448666
Language : En, Es, Fr & De

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Book Description :

Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis for interpretation. The purpose of this book is to describe current methods for the analysis of spatial data. Methods described include data description, map interpolation, and exploratory and explanatory analyses. The book also examines spatial referencing, and methods for detecting problems, assessing their seriousness and taking appropriate action are discussed. This is an important text for any discipline requiring a broad overview of current theoretical and applied work for the analysis of spatial data sets. It will be of particular use to research workers and final year undergraduates in the fields of geography, environmental sciences and social sciences.

Models for Ecological Data

Models for Ecological Data Book
Author : James S. Clark
Publisher : Princeton University Press
Release : 2020-10-06
ISBN : 0691220123
Language : En, Es, Fr & De

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Book Description :

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

Applied Statistics for Environmental Science with R

Applied Statistics for Environmental Science with R Book
Author : Abbas F. M. Al-Karkhi,Wasin A. A. Alqaraghuli
Publisher : Elsevier
Release : 2019-09-13
ISBN : 0128186232
Language : En, Es, Fr & De

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Book Description :

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

From Experimental Network to Meta analysis

From Experimental Network to Meta analysis Book
Author : David Makowski,François Piraux,François Brun
Publisher : Springer
Release : 2019-05-07
ISBN : 940241696X
Language : En, Es, Fr & De

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Book Description :

This book has been designed as a methodological guide and shows the interests and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses. It is intended for engineers, students and researchers involved in data analysis in agronomy and environmental science.

Statistics for Earth and Environmental Scientists

Statistics for Earth and Environmental Scientists Book
Author : John H. Schuenemeyer,Lawrence J. Drew
Publisher : John Wiley & Sons
Release : 2011-04-12
ISBN : 1118102215
Language : En, Es, Fr & De

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Book Description :

A comprehensive treatment of statistical applications for solvingreal-world environmental problems A host of complex problems face today's earth science community,such as evaluating the supply of remaining non-renewable energyresources, assessing the impact of people on the environment,understanding climate change, and managing the use of water. Propercollection and analysis of data using statistical techniquescontributes significantly toward the solution of these problems.Statistics for Earth and Environmental Scientists presentsimportant statistical concepts through data analytic tools andshows readers how to apply them to real-world problems. The authors present several different statistical approaches tothe environmental sciences, including Bayesian and nonparametricmethodologies. The book begins with an introduction to types ofdata, evaluation of data, modeling and estimation, randomvariation, and sampling—all of which are explored throughcase studies that use real data from earth science applications.Subsequent chapters focus on principles of modeling and the keymethods and techniques for analyzing scientific data,including: Interval estimation and Methods for analyzinghypothesis testingof means time series data Spatial statistics Multivariate analysis Discrete distributions Experimental design Most statistical models are introduced by concept andapplication, given as equations, and then accompanied by heuristicjustification rather than a formal proof. Data analysis, modelbuilding, and statistical inference are stressed throughout, andreaders are encouraged to collect their own data to incorporateinto the exercises at the end of each chapter. Most data sets,graphs, and analyses are computed using R, but can be worked withusing any statistical computing software. A related websitefeatures additional data sets, answers to selected exercises, and Rcode for the book's examples. Statistics for Earth and Environmental Scientists is anexcellent book for courses on quantitative methods in geology,geography, natural resources, and environmental sciences at theupper-undergraduate and graduate levels. It is also a valuablereference for earth scientists, geologists, hydrologists, andenvironmental statisticians who collect and analyze data in theireveryday work.

Applied Multivariate Analysis in SAR and Environmental Studies

Applied Multivariate Analysis in SAR and Environmental Studies Book
Author : J. Devillers,W. Karcher
Publisher : Springer Science & Business Media
Release : 2013-03-07
ISBN : 9401131988
Language : En, Es, Fr & De

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Book Description :

Based on the Lectures given during the Eurocourse on `Applied Multivariate Analysis in SAR and Environmental Studies' held at the Joint Research Centre, Ispra, Italy, June 24-28, 1991

The Environmental Science of Drinking Water

The Environmental Science of Drinking Water Book
Author : Patrick Sullivan,Franklin J. Agardy,James J.J. Clark
Publisher : Elsevier
Release : 2005-08-01
ISBN : 008045772X
Language : En, Es, Fr & De

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Book Description :

In today’s chemically dependent society, environmental studies demonstrate that drinking water in developed countries contains numerous industrial chemicals, pesticides, pharmaceuticals and chemicals from water treatment processes. This poses a real threat. As a result of the ever-expanding list of chemical and biochemical products industry, current drinking water standards that serve to preserve our drinking water quality are grossly out of date. Environmental Science of Drinking Water demonstrates why we need to make a fundamental change in our approach toward protecting our drinking water. Factual and circumstantial evidence showing the failure of current drinking water standards to adequately protect human health is presented along with analysis of the extent of pollution in our water resources and drinking water. The authors also present detail of the currently available state-of-the-art technologies which, if fully employed, can move us toward a healthier future. * Addresses the international problems of outdated standards and the overwhelming onslaught of new contaminants. * Includes new monitoring data on non-regulated chemicals in water sources and drinking water. * Includes a summary of different bottled waters as well as consumer water purification technologies.

Machine Learning Methods in the Environmental Sciences

Machine Learning Methods in the Environmental Sciences Book
Author : William W. Hsieh
Publisher : Cambridge University Press
Release : 2009-07-30
ISBN : 0521791928
Language : En, Es, Fr & De

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Book Description :

A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.

Analyzing Environmental Data

Analyzing Environmental Data Book
Author : Walter W. Piegorsch,A. John Bailer
Publisher : John Wiley & Sons
Release : 2005-03-04
ISBN : 9780470848364
Language : En, Es, Fr & De

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Book Description :

Environmental statistics is a rapidly growing field, supported by advances in digital computing power, automated data collection systems, and interactive, linkable Internet software. Concerns over public and ecological health and the continuing need to support environmental policy-making and regulation have driven a concurrent explosion in environmental data analysis. This textbook is designed to address the need for trained professionals in this area. The book is based on a course which the authors have taught for many years, and prepares students for careers in environmental analysis centered on statistics and allied quantitative methods of data evaluation. The text extends beyond the introductory level, allowing students and environmental science practitioners to develop the expertise to design and perform sophisticated environmental data analyses. In particular, it: Provides a coherent introduction to intermediate and advanced methods for modeling and analyzing environmental data. Takes a data-oriented approach to describing the various methods. Illustrates the methods with real-world examples Features extensive exercises, enabling use as a course text. Includes examples of SAS computer code for implementation of the statistical methods. Connects to a Web site featuring solutions to exercises, extra computer code, and additional material. Serves as an overview of methods for analyzing environmental data, enabling use as a reference text for environmental science professionals. Graduate students of statistics studying environmental data analysis will find this invaluable as will practicing data analysts and environmental scientists including specialists in atmospheric science, biology and biomedicine, chemistry, ecology, environmental health, geography, and geology.

Environmental Statistics with S PLUS

Environmental Statistics with S PLUS Book
Author : Steven P. Millard,Nagaraj K. Neerchal
Publisher : CRC Press
Release : 2000-09-21
ISBN : 142003717X
Language : En, Es, Fr & De

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Book Description :

A clear, comprehensive treatment of the subject, Environmental Statistics with S-PLUS surveys the vast array of statistical methods used to collect and analyze environmental data. The book explains what these methods are, how to use them, and where to find references to them. In addition, it provides insight into what to think about before you collect environmental data, how to collect the data, and how to make sense of it after collection. A unique and powerful feature of the book is its integration with the commercially available software package S-Plus and the add-on modules EnvironmentalStats for S-PLUS, S+SpatialStats, and S-PLUS for ArcView. The book presents data sets to explain statistical methods, and then shows how to implement these methods by providing the commands for and the results from the software. This survey of statistical methods, definitions, and concepts helps you collect and effectively analyze data for environmental pollution problems. Using the S-PLUS software in conjunction with this text will no doubt increase understanding of the methods.

Phenological Research

Phenological Research Book
Author : Irene L. Hudson,Marie R. Keatley
Publisher : Springer Science & Business Media
Release : 2009-11-24
ISBN : 9048133351
Language : En, Es, Fr & De

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Book Description :

As climate change continues to dominate the international environmental agenda, phenology – the study of the timing of recurring biological events – has received increasing research attention, leading to an emerging consensus that phenology can be viewed as an ‘early warning system’ for climate change impact. A multidisciplinary science involving many branches of ecology, geography and remote sensing, phenology to date has lacked a coherent methodological text. This new synthesis, including contributions from many of the world’s leading phenologists, therefore fills a critical gap in the current biological literature. Providing critiques of current methods, as well as detailing novel and emerging methodologies, the book, with its extensive suite of references, provides readers with an understanding of both the theoretical basis and the potential applications required to adopt and adapt new analytical and design methods. An invaluable source book for researchers and students in ecology and climate change science, the book also provides a useful reference for practitioners in a range of sectors, including human health, fisheries, forestry, agriculture and natural resource management.

Multivariate Analysis of Ecological Data

Multivariate Analysis of Ecological Data Book
Author : Michael Greenacre,Raul Primicerio
Publisher : Fundacion BBVA
Release : 2014-01-09
ISBN : 8492937505
Language : En, Es, Fr & De

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Book Description :

La diversidad biológica es fruto de la interacción entre numerosas especies, ya sean marinas, vegetales o animales, a la par que de los muchos factores limitantes que caracterizan el medio que habitan. El análisis multivariante utiliza las relaciones entre diferentes variables para ordenar los objetos de estudio según sus propiedades colectivas y luego clasificarlos; es decir, agrupar especies o ecosistemas en distintas clases compuestas cada una por entidades con propiedades parecidas. El fin último es relacionar la variabilidad biológica observada con las correspondientes características medioambientales. Multivariate Analysis of Ecological Data explica de manera completa y estructurada cómo analizar e interpretar los datos ecológicos observados sobre múltiples variables, tanto biológicos como medioambientales. Tras una introducción general a los datos ecológicos multivariantes y la metodología estadística, se abordan en capítulos específicos, métodos como aglomeración (clustering), regresión, biplots, escalado multidimensional, análisis de correspondencias (simple y canónico) y análisis log-ratio, con atención también a sus problemas de modelado y aspectos inferenciales. El libro plantea una serie de aplicaciones a datos reales derivados de investigaciones ecológicas, además de dos casos detallados que llevan al lector a apreciar los retos de análisis, interpretación y comunicación inherentes a los estudios a gran escala y los diseños complejos.

Handbook of Environmental and Ecological Statistics

Handbook of Environmental and Ecological Statistics Book
Author : Alan E. Gelfand,Montserrat Fuentes,Jennifer A. Hoeting,Richard Lyttleton Smith
Publisher : CRC Press
Release : 2019-01-15
ISBN : 1351648543
Language : En, Es, Fr & De

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Book Description :

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.

Data Analysis and Statistics for Geography Environmental Science and Engineering

Data Analysis and Statistics for Geography  Environmental Science  and Engineering Book
Author : Miguel F. Acevedo
Publisher : CRC Press
Release : 2012-12-07
ISBN : 1466592214
Language : En, Es, Fr & De

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Book Description :

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