Data Treatment in Environmental Sciences

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  • Publisher : Iste Press - Elsevier
  • Release : 17 August 2022
  • ISBN : 1785482394
  • Page : 194 pages
  • Rating : 4.5/5 from 103 voters

Data Treatment in Environmental Sciences Book PDF summary

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

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Data Treatment in Environmental Sciences

Data Treatment in Environmental Sciences
  • Author : Valérie David
  • Publisher : Iste Press - Elsevier
  • Release Date : 2017
  • ISBN : 1785482394
DOWNLOAD BOOKData Treatment in Environmental Sciences

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

Environmental Data Analysis

Environmental Data Analysis
  • Author : Zhihua Zhang
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2016-11-21
  • ISBN : 9783110424904
DOWNLOAD BOOKEnvironmental Data Analysis

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

Data Treatment in Environmental Sciences

Data Treatment in Environmental Sciences
  • Author : Valérie David
  • Publisher : Elsevier
  • Release Date : 2017-05-25
  • ISBN : 9780081023464
DOWNLOAD BOOKData Treatment in Environmental Sciences

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

Statistical Data Analysis Explained

Statistical Data Analysis Explained
  • Author : Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter
  • Publisher : John Wiley & Sons
  • Release Date : 2011-08-31
  • ISBN : 9781119965282
DOWNLOAD BOOKStatistical Data Analysis Explained

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

Environmental Geochemistry

Environmental Geochemistry
  • Author : Benedetto DeVivo,Harvey Belkin,Annamaria Lima
  • Publisher : Elsevier
  • Release Date : 2017-09-18
  • ISBN : 9780444640079
DOWNLOAD BOOKEnvironmental Geochemistry

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

Artificial Intelligence and Data Science in Environmental Sensing

Artificial Intelligence and Data Science in Environmental Sensing
  • Author : Mohsen Asadnia,Amir Razmjou,Amin Beheshti
  • Publisher : Academic Press
  • Release Date : 2022-02-24
  • ISBN : 9780323905077
DOWNLOAD BOOKArtificial Intelligence and Data Science in Environmental Sensing

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

Introduction to Environmental Data Analysis and Modeling

Introduction to Environmental Data Analysis and Modeling
  • Author : Moses Eterigho Emetere,Esther Titilayo Akinlabi
  • Publisher : Springer Nature
  • Release Date : 2020-01-03
  • ISBN : 9783030362072
DOWNLOAD BOOKIntroduction to Environmental Data Analysis and Modeling

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

Machine Learning Methods in the Environmental Sciences

Machine Learning Methods in the Environmental Sciences
  • Author : William W. Hsieh
  • Publisher : Cambridge University Press
  • Release Date : 2009-07-30
  • ISBN : 9780521791922
DOWNLOAD BOOKMachine Learning Methods in the Environmental Sciences

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