Data 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 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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  • Author : Valérie David
  • Publisher : Iste Press - Elsevier
  • Pages : 194 pages
  • ISBN : 9781785482397
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKData Treatment in Environmental Sciences

Data Treatment in Environmental Sciences

Data Treatment in Environmental Sciences
  • Author : Valérie David
  • Publisher : Iste Press - Elsevier
  • Release : 17 May 2022
GET THIS 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

Data Treatment in Environmental Sciences

Data Treatment in Environmental Sciences
  • Author : Valérie David
  • Publisher : Elsevier
  • Release : 25 May 2017
GET THIS 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

Environmental Data Analysis

Environmental Data Analysis
  • Author : Zhihua Zhang
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 21 November 2016
GET THIS 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

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 : 24 February 2022
GET THIS 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

Statistical Data Analysis Explained

Statistical Data Analysis Explained
  • Author : Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter
  • Publisher : John Wiley & Sons
  • Release : 31 August 2011
GET THIS 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 : 18 September 2017
GET THIS 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

Intelligent Environmental Data Monitoring for Pollution Management

Intelligent Environmental Data Monitoring for Pollution Management
  • Author : Siddhartha Bhattacharyya,Naba Kumar Mondal,Jan Platos,Vaclav Snasel,Pavel Kromer
  • Publisher : Academic Press
  • Release : 22 October 2020
GET THIS BOOKIntelligent Environmental Data Monitoring for Pollution Management

Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data. Thus, the book ushers in a new era as far as environmental pollution management is concerned. It reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, followed by a review of intelligent tools and techniques which can be used in this direction. In addition, it discusses novel intelligent algorithms

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering
  • Author : Goncalo Marques,Joshua O. Ighalo
  • Publisher : Academic Press
  • Release : 20 March 2022
GET THIS BOOKCurrent Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial

Applied Statistics for Environmental Science with R

Applied Statistics for Environmental Science with R
  • Author : Abbas F. M. Al-Karkhi,Wasin A. A. Alqaraghuli
  • Publisher : Elsevier
  • Release : 13 September 2019
GET THIS BOOKApplied Statistics for Environmental Science with R

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

From Experimental Network to Meta-analysis

From Experimental Network to Meta-analysis
  • Author : David Makowski,François Piraux,François Brun
  • Publisher : Springer
  • Release : 07 May 2019
GET THIS BOOKFrom Experimental Network to Meta-analysis

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.

Models for Ecological Data

Models for Ecological Data
  • Author : James S. Clark
  • Publisher : Princeton University Press
  • Release : 06 October 2020
GET THIS BOOKModels for Ecological Data

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

Statistics for Earth and Environmental Scientists

Statistics for Earth and Environmental Scientists
  • Author : John H. Schuenemeyer,Lawrence J. Drew
  • Publisher : John Wiley & Sons
  • Release : 12 April 2011
GET THIS BOOKStatistics for Earth and Environmental Scientists

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

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 : 03 January 2020
GET THIS 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