Numerical Methods in Environmental Data Analysis

Numerical Methods in Environmental Data Analysis introduces environmental scientists to the numerical methods available to help answer research questions through data analysis. One challenge in data analysis is misrepresentation of datasets that are relevant directly or indirectly to the research. This book illustrates new ways of screening dataset or images for maximum utilization, introducing environmental modeling, numerical methods, and computations techniques in data analysis. Throughout the book, the author includes case studies that provide guidance on how to translate research questions into appropriate models. Individuals working with data sets or images generated from environmental monitoring centers or satellites will find this book to be a concise guide for analyzing and interpreting their data. Bridges the theoretical underpinnings of modeling to research Illustrates the computational resolution of environmental issues alongside the use of open source software Provides information on the use of analogue versus digital data treatment processes

Produk Detail:

  • Author : Moses Emetere
  • Publisher : Elsevier
  • Pages : 248 pages
  • ISBN : 9780128189719
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKNumerical Methods in Environmental Data Analysis

Numerical Methods in Environmental Data Analysis

Numerical Methods in Environmental Data Analysis
  • Author : Moses Emetere
  • Publisher : Elsevier
  • Release : 15 November 2021
GET THIS BOOKNumerical Methods in Environmental Data Analysis

Numerical Methods in Environmental Data Analysis introduces environmental scientists to the numerical methods available to help answer research questions through data analysis. One challenge in data analysis is misrepresentation of datasets that are relevant directly or indirectly to the research. This book illustrates new ways of screening dataset or images for maximum utilization, introducing environmental modeling, numerical methods, and computations techniques in data analysis. Throughout the book, the author includes case studies that provide guidance on how to translate research

Environmental Data Analysis

Environmental Data Analysis
  • Author : Zhihua Zhang
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 01 January 2017
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

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

Efficient Numerical Methods and Information-Processing Techniques for Modeling Hydro- and Environmental Systems

Efficient Numerical Methods and Information-Processing Techniques for Modeling Hydro- and Environmental Systems
  • Author : Reinhard Hinkelmann
  • Publisher : Springer Science & Business Media
  • Release : 10 August 2006
GET THIS BOOKEfficient Numerical Methods and Information-Processing Techniques for Modeling Hydro- and Environmental Systems

Numerical simulation models have become indispensable in hydro- and environmental sciences and engineering. This monograph presents a general introduction to numerical simulation in environment water, based on the solution of the equations for groundwater flow and transport processes, for multiphase and multicomponent flow and transport processes in the subsurface as well as for flow and transport processes in surface waters. It displays in detail the state of the art of discretization and stabilization methods (e.g. finite-difference, finite-element, and finite-volume

Environmental Data Analysis with MatLab

Environmental Data Analysis with MatLab
  • Author : William Menke,Joshua Ephraim Menke
  • Publisher : Elsevier
  • Release : 21 June 2021
GET THIS BOOKEnvironmental Data Analysis with MatLab

Environmental Data Analysis with MatLab is for students and researchers working to analyze real data sets in the environmental sciences. One only has to consider the global warming debate to realize how critically important it is to be able to derive clear conclusions from often-noisy data drawn from a broad range of sources. This book teaches the basics of the underlying theory of data analysis, and then reinforces that knowledge with carefully chosen, realistic scenarios. MatLab, a commercial data processing

Computational Methods for Next Generation Sequencing Data Analysis

Computational Methods for Next Generation Sequencing Data Analysis
  • Author : Ion Mandoiu,Alexander Zelikovsky
  • Publisher : John Wiley & Sons
  • Release : 12 September 2016
GET THIS BOOKComputational Methods for Next Generation Sequencing Data Analysis

Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range of computational techniques and applications This book provides an in-depth survey of some of the recent developments in NGS and discusses mathematical and computational challenges in various application areas of NGS technologies. The 18 chapters featured in this book have been authored by bioinformatics experts and represent the latest work in leading labs actively contributing to the fast-growing field of NGS. The book is

Numerical Methods in Software and Analysis

Numerical Methods in Software and Analysis
  • Author : John R. Rice
  • Publisher : Elsevier
  • Release : 19 May 2014
GET THIS BOOKNumerical Methods in Software and Analysis

Numerical Methods, Software, and Analysis, Second Edition introduces science and engineering students to the methods, tools, and ideas of numerical computation. Introductory courses in numerical methods face a fundamental problem—there is too little time to learn too much. This text solves that problem by using high-quality mathematical software. In fact, the objective of the text is to present scientific problem solving using standard mathematical software. This book discusses numerous programs and software packages focusing on the IMSL library (including

Tracking Environmental Change Using Lake Sediments

Tracking Environmental Change Using Lake Sediments
  • Author : John B.H. Birks,André F. Lotter,Steve Juggins,John P. Smol
  • Publisher : Springer Science & Business Media
  • Release : 08 April 2012
GET THIS BOOKTracking Environmental Change Using Lake Sediments

Numerical and statistical methods have rapidly become part of a palaeolimnologist’s tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. ​ Visit http://extras.springer.com the Springer's Extras website to view data-sets, figures,

Computational and Numerical Challenges in Environmental Modelling

Computational and Numerical Challenges in Environmental Modelling
  • Author : Zahari Zlatev,Ivan Dimov
  • Publisher : Elsevier
  • Release : 02 May 2006
GET THIS BOOKComputational and Numerical Challenges in Environmental Modelling

Many large mathematical models, not only models arising and used in environmental studies, are described by systems of partial differential equations. The discretization of the spatial derivatives in such models leads to the solution of very large systems of ordinary differential equations. These systems contain many millions of equations and have to be handled over large time intervals by applying many time-steps (up to several hundred thousand time-steps). Furthermore, many scenarios are as a rule to be run. This explains

Numerical Ecology

Numerical Ecology
  • Author : P. Legendre,Loic F J Legendre
  • Publisher : Elsevier
  • Release : 20 August 2012
GET THIS BOOKNumerical Ecology

The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. An updated, 3rd English edition of the most widely cited book on quantitative analysis of multivariate ecological data Relates ecological questions to methods of statistical analysis, with a clear description of complex numerical

Advanced Numerical Methods for Complex Environmental Models: Needs and Availability

Advanced Numerical Methods for Complex Environmental Models: Needs and Availability
  • Author : István Faragó,Ágnes Havasi,Zahari Zlatev
  • Publisher : Bentham Science Publishers
  • Release : 10 December 2013
GET THIS BOOKAdvanced Numerical Methods for Complex Environmental Models: Needs and Availability

High air pollution levels pose a significant threat to plants, animals and human beings. Efforts by researchers are directed towards keeping air pollution levels below well defined ‘critical‘ levels in order to maintain a sustainable atmosphere and environmental system. The application of advanced mathematical models is important for researchers to achieve this goal as efficiently as possible. Mathematical models can be used to predict answers to many important questions about the environment. This application comes with several complex theoretical and

Statistical Methods for Hospital Monitoring with R

Statistical Methods for Hospital Monitoring with R
  • Author : Anthony Morton,Kerrie L. Mengersen,Geoffrey Playford,Michael Whitby
  • Publisher : John Wiley & Sons
  • Release : 27 June 2013
GET THIS BOOKStatistical Methods for Hospital Monitoring with R

Hospitals monitoring is becoming more complex and is increasingboth because staff want their data analysed and because ofincreasing mandated surveillance. This book provides a suiteof functions in R, enabling scientists and data analysts working ininfection management and quality improvement departments inhospitals, to analyse their often non-independent data which isfrequently in the form of trended, over-dispersed and sometimesauto-correlated time series; this is often difficult to analyseusing standard office software. This book provides much-needed guidance on data analysis using Rfor the growing

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