Environmental Data Analysis With Matlab

Environmental Data Analysis With Matlab
Author: William Menke,Joshua Menke
Publsiher: Academic Press
Total Pages: 342
Release: 2016-03-15
ISBN 10: 9780128044889
ISBN 13: 0128044888
Language: EN, FR, DE, ES & NL

Environmental Data Analysis With Matlab Book Review:

Since publication of the bestselling Environmental Data Analysis with MATLAB®, many advances have been made in environmental data analysis. This new edition expands fundamentally on the original with an expanded tutorial approach, with new crib sheets and problem sets providing a clear learning path 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. The work 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 environment, is used in these scenarios; significant content is devoted to teaching how it can be effectively used in an environmental data analysis setting. This new edition, though written in a self-contained way, is supplemented with data and MATLAB® scripts that can be used as a data analysis tutorial. New to this edition: Throughout, boxed "crib sheets" help identify major results and important formulas and give brief advice on how and when they should be used Numerical derivatives and integrals derived and illustrated Expansion to include log-log plots with further examples of their use Discusses new datasets on precipitation and stream flow Topical enhancement applies the chi-squared test to the results of the generalized least squares method New section on cluster analysis New coverage of approximations techniques that are widely applied in data analysis. These include Taylor Series and low-order polynomial approximations; non-linear least-squares with Newton's method; pre-calculation and updating techniques applicable to real time data acquisition; and neural networks for approximating complex relationships Corrections of typographical errors and of call outs of figures and equations Provides a clear learning path for researchers and students using data analysis techniques which build upon one another, choosing the right order of presentation to substantially aid the reader learning material Crib Sheets serve to summarize the most important data analysis techniques, results, procedures and formulas, serving to organize the material in such a way that its sequence is more apparent Uses real-world environmental examples and case studies formulated using the readily-available software environment in MATLAB®

Environmental Data Analysis with MatLab

Environmental Data Analysis with MatLab
Author: William Menke,Joshua Ephraim Menke
Publsiher: Elsevier
Total Pages: 263
Release: 2012
ISBN 10: 0123918863
ISBN 13: 9780123918864
Language: EN, FR, DE, ES & NL

Environmental Data Analysis with MatLab Book Review:

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 environment, is used in these scenarios; significant content is devoted to teaching how it can be effectively used in an environmental data analysis setting. The book, though written in a self-contained way, is supplemented with data sets and MatLab scripts that can be used as a data analysis tutorial. Author's website: http://www.ldeo.columbia.edu/users/menke/edawm/index.htm Well written and outlines a clear learning path for researchers and students Uses real world environmental examples and case studies MatLab software for application in a readily-available software environment Homework problems help user follow up upon case studies with homework that expands them

Environmental Data Analysis with MatLab

Environmental Data Analysis with MatLab
Author: William Menke,Joshua Menke
Publsiher: Elsevier
Total Pages: 288
Release: 2009-10-13
ISBN 10: 0123918871
ISBN 13: 9780123918871
Language: EN, FR, DE, ES & NL

Environmental Data Analysis with MatLab Book Review:

Environmental Data Analysis with MatLab is a reference work designed to teach students and researchers the basics of data analysis in the environmental sciences using MatLab, and more specifically how to analyze data sets in carefully chosen, realistic scenarios. Although written in a self-contained way, the text is supplemented with data sets and MatLab scripts that can be used as a data analysis tutorial, available at the author's website: http://www.ldeo.columbia.edu/users/menke/edawm/index.htm. This book is organized into 12 chapters. After introducing the reader to the basics of data analysis with MatLab, the discussion turns to the power of linear models; quantifying preconceptions; detecting periodicities; patterns suggested by data; detecting correlations among the data; filling in missing data; and determining whether your results are significant. Homework problems help users follow up upon case studies. This text will appeal to environmental scientists, specialists, researchers, analysts, and undergraduate and graduate students in Environmental Engineering, Environmental Biology and Earth Science courses, who are working to analyze data and communicate results. Well written and outlines a clear learning path for researchers and students Uses real world environmental examples and case studies MatLab software for application in a readily-available software environment Homework problems help user follow up upon case studies with homework that expands them

Environmental Systems Analysis with MATLAB

Environmental Systems Analysis with MATLAB
Author: Stefano Marsili-Libelli
Publsiher: CRC Press
Total Pages: 540
Release: 2018-09-03
ISBN 10: 1315360063
ISBN 13: 9781315360065
Language: EN, FR, DE, ES & NL

Environmental Systems Analysis with MATLAB Book Review:

Explore the inner workings of environmental processes using a mathematical approach. Environmental Systems Analysis with MATLAB® combines environmental science concepts and system theory with numerical techniques to provide a better understanding of how our environment works. The book focuses on building mathematical models of environmental systems, and using these models to analyze their behaviors. Designed with the environmental professional in mind, it offers a practical introduction to developing the skills required for managing environmental modeling and data handling. The book follows a logical sequence from the basic steps of model building and data analysis to implementing these concepts into working computer codes, and then on to assessing their results. It describes data processing (rarely considered in environmental analysis); outlines the tools needed to successfully analyze data and develop models, and moves on to real-world problems. The author illustrates in the first four chapters the methodological aspects of environmental systems analysis, and in subsequent chapters applies them to specific environmental concerns. The accompanying software bundle is freely downloadable from the book web site. It follows the chapters sequence and provides a hands-on experience, allowing the reader to reproduce the figures in the text and experiment by varying the problem setting. A basic MATLAB literacy is required to get the most out of the software. Ideal for coursework and self-study, this offering: Deals with the basic concepts of environmental modeling and identification, both from the mechanistic and the data-driven viewpoint Provides a unifying methodological approach to deal with specific aspects of environmental modeling: population dynamics, flow systems, and environmental microbiology Assesses the similarities and the differences of microbial processes in natural and man-made environments Analyzes several aquatic ecosystems’ case studies Presents an application of an extended Streeter & Phelps (S&P) model Describes an ecological method to estimate the bioavailable nutrients in natural waters Considers a lagoon ecosystem from several viewpoints, including modeling and management, and more

Basic Environmental Data Analysis for Scientists and Engineers

Basic Environmental Data Analysis for Scientists and Engineers
Author: Ralph R.B. Von Frese
Publsiher: CRC Press
Total Pages: 282
Release: 2019-11-22
ISBN 10: 1000725758
ISBN 13: 9781000725759
Language: EN, FR, DE, ES & NL

Basic Environmental Data Analysis for Scientists and Engineers Book Review:

Classroom tested and the result of over 30 years of teaching and research, this textbook is an invaluable tool for undergraduate and graduate data analysis courses in environmental sciences and engineering. It is also a useful reference on modern digital data analysis for the extensive and growing community of Earth scientists and engineers. Basic Environmental Data Analysis for Scientists and Engineers introduces practical concepts of modern digital data analysis and graphics, including numerical/graphical calculus, measurement units and dimensional analysis, error propagation and statistics, and least squares data modeling. It emphasizes array-based or matrix inversion and spectral analysis using the fast Fourier transform (FFT) that dominates modern data analysis. Divided into two parts, this comprehensive hands-on textbook is excellent for exploring data analysis principles and practice using MATLAB®, Mathematica, Mathcad, and other modern equation solving software. Part I, for beginning undergraduate students, introduces the basic approaches for quantifying data variations in terms of environmental parameters. These approaches emphasize uses of the data array or matrix, which is the fundamental data and mathematical processing format of modern electronic computing. Part II, for advanced undergraduate and beginning graduate students, extends the inverse problem to least squares solutions involving more than two unknowns. Features: Offers a uniquely practical guide for making students proficient in modern electronic data analysis and graphics Includes topics that are not explained in any existing textbook on environmental data analysis Data analysis topics are very well organized into a two-semester course that meets general education curriculum requirements in science and engineering Facilitates learning by beginning each chapter with an ‘Overview’ section highlighting the topics covered, and ending it with a ‘Key Concepts’ section summarizing the main technical details that the reader should have acquired Indexes many numerical examples for ready access in the classroom or other venues serviced by electronic equation solvers like MATLAB®, Mathematica, Mathcad, etc. Offers supplemental exercises and materials to enhance understanding the principles and practice of modern data analysis

Exploratory Data Analysis with MATLAB

Exploratory Data Analysis with MATLAB
Author: Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka,Angel Martinez
Publsiher: CRC Press
Total Pages: 424
Release: 2004-11-29
ISBN 10: 9780203483374
ISBN 13: 0203483375
Language: EN, FR, DE, ES & NL

Exploratory Data Analysis with MATLAB Book Review:

Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing larger a

Environmental Systems Analysis with MATLAB

Environmental Systems Analysis with MATLAB
Author: Stefano Marsili-Libelli
Publsiher: CRC Press
Total Pages: 540
Release: 2018-09-03
ISBN 10: 1315362333
ISBN 13: 9781315362335
Language: EN, FR, DE, ES & NL

Environmental Systems Analysis with MATLAB Book Review:

Explore the inner workings of environmental processes using a mathematical approach. Environmental Systems Analysis with MATLAB® combines environmental science concepts and system theory with numerical techniques to provide a better understanding of how our environment works. The book focuses on building mathematical models of environmental systems, and using these models to analyze their behaviors. Designed with the environmental professional in mind, it offers a practical introduction to developing the skills required for managing environmental modeling and data handling. The book follows a logical sequence from the basic steps of model building and data analysis to implementing these concepts into working computer codes, and then on to assessing their results. It describes data processing (rarely considered in environmental analysis); outlines the tools needed to successfully analyze data and develop models, and moves on to real-world problems. The author illustrates in the first four chapters the methodological aspects of environmental systems analysis, and in subsequent chapters applies them to specific environmental concerns. The accompanying software bundle is freely downloadable from the book web site. It follows the chapters sequence and provides a hands-on experience, allowing the reader to reproduce the figures in the text and experiment by varying the problem setting. A basic MATLAB literacy is required to get the most out of the software. Ideal for coursework and self-study, this offering: Deals with the basic concepts of environmental modeling and identification, both from the mechanistic and the data-driven viewpoint Provides a unifying methodological approach to deal with specific aspects of environmental modeling: population dynamics, flow systems, and environmental microbiology Assesses the similarities and the differences of microbial processes in natural and man-made environments Analyzes several aquatic ecosystems’ case studies Presents an application of an extended Streeter & Phelps (S&P) model Describes an ecological method to estimate the bioavailable nutrients in natural waters Considers a lagoon ecosystem from several viewpoints, including modeling and management, and more

Data Driven Modeling Using MATLAB in Water Resources and Environmental Engineering

Data Driven Modeling  Using MATLAB   in Water Resources and Environmental Engineering
Author: Shahab Araghinejad
Publsiher: Springer Science & Business Media
Total Pages: 292
Release: 2013-11-26
ISBN 10: 9400775067
ISBN 13: 9789400775060
Language: EN, FR, DE, ES & NL

Data Driven Modeling Using MATLAB in Water Resources and Environmental Engineering Book Review:

“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.

Geophysical Data Analysis Discrete Inverse Theory

Geophysical Data Analysis  Discrete Inverse Theory
Author: William Menke
Publsiher: Academic Press
Total Pages: 272
Release: 2012-12-02
ISBN 10: 0323141285
ISBN 13: 9780323141284
Language: EN, FR, DE, ES & NL

Geophysical Data Analysis Discrete Inverse Theory Book Review:

Geophysical Data Analysis: Discrete Inverse Theory is an introductory text focusing on discrete inverse theory that is concerned with parameters that either are truly discrete or can be adequately approximated as discrete. Organized into 12 chapters, the book’s opening chapters provide a general background of inverse problems and their corresponding solution, as well as some of the basic concepts from probability theory that are applied throughout the text. Chapters 3-7 discuss the solution of the canonical inverse problem, that is, the linear problem with Gaussian statistics, and discussions on problems that are non-Gaussian and nonlinear are covered in Chapters 8 and 9. Chapters 10-12 present examples of the use of inverse theory and a discussion on the numerical algorithms that must be employed to solve inverse problems on a computer. This book is of value to graduate students and many college seniors in the applied sciences.

Basic Environmental Data Analysis for Scientists and Engineers

Basic Environmental Data Analysis for Scientists and Engineers
Author: Ralph R.B. Von Frese
Publsiher: CRC Press
Total Pages: 282
Release: 2019-11-22
ISBN 10: 1000725618
ISBN 13: 9781000725612
Language: EN, FR, DE, ES & NL

Basic Environmental Data Analysis for Scientists and Engineers Book Review:

Classroom tested and the result of over 30 years of teaching and research, this textbook is an invaluable tool for undergraduate and graduate data analysis courses in environmental sciences and engineering. It is also a useful reference on modern digital data analysis for the extensive and growing community of Earth scientists and engineers. Basic Environmental Data Analysis for Scientists and Engineers introduces practical concepts of modern digital data analysis and graphics, including numerical/graphical calculus, measurement units and dimensional analysis, error propagation and statistics, and least squares data modeling. It emphasizes array-based or matrix inversion and spectral analysis using the fast Fourier transform (FFT) that dominates modern data analysis. Divided into two parts, this comprehensive hands-on textbook is excellent for exploring data analysis principles and practice using MATLAB®, Mathematica, Mathcad, and other modern equation solving software. Part I, for beginning undergraduate students, introduces the basic approaches for quantifying data variations in terms of environmental parameters. These approaches emphasize uses of the data array or matrix, which is the fundamental data and mathematical processing format of modern electronic computing. Part II, for advanced undergraduate and beginning graduate students, extends the inverse problem to least squares solutions involving more than two unknowns. Features: Offers a uniquely practical guide for making students proficient in modern electronic data analysis and graphics Includes topics that are not explained in any existing textbook on environmental data analysis Data analysis topics are very well organized into a two-semester course that meets general education curriculum requirements in science and engineering Facilitates learning by beginning each chapter with an ‘Overview’ section highlighting the topics covered, and ending it with a ‘Key Concepts’ section summarizing the main technical details that the reader should have acquired Indexes many numerical examples for ready access in the classroom or other venues serviced by electronic equation solvers like MATLAB®, Mathematica, Mathcad, etc. Offers supplemental exercises and materials to enhance understanding the principles and practice of modern data analysis

Computational Statistics in the Earth Sciences

Computational Statistics in the Earth Sciences
Author: Alan D. Chave
Publsiher: Cambridge University Press
Total Pages: 480
Release: 2017-10-31
ISBN 10: 1107096006
ISBN 13: 9781107096004
Language: EN, FR, DE, ES & NL

Computational Statistics in the Earth Sciences Book Review:

Based on a course taught by the author, this book combines the theoretical underpinnings of statistics with the practical analysis of Earth sciences data using MATLAB. The book is organized to introduce the underlying concepts, and then extends these to the data, covering methods that are most applicable to Earth sciences. Topics include classical parametric estimation and hypothesis testing, and more advanced least squares-based, nonparametric, and resampling estimators. Multivariate data analysis, not often encountered in introductory texts, is presented later in the book, and compositional data is treated at the end. Datasets and bespoke MATLAB scripts used in the book are available online, as well as additional datasets and suggested questions for use by instructors. Aimed at entering graduate students and practicing researchers in the Earth and ocean sciences, this book is ideal for those who want to learn how to analyse data using MATLAB in a statistically-rigorous manner.

MATLAB Recipes for Earth Sciences

MATLAB   Recipes for Earth Sciences
Author: Martin H. Trauth,Robin Gebbers,Norbert Marwan
Publsiher: Springer Science & Business Media
Total Pages: 288
Release: 2007
ISBN 10: 3540727485
ISBN 13: 9783540727484
Language: EN, FR, DE, ES & NL

MATLAB Recipes for Earth Sciences Book Review:

Introduces methods of data analysis in geosciences using MATLAB such as basic statistics for univariate, bivariate and multivariate datasets, jackknife and bootstrap resampling schemes, processing of digital elevation models, gridding and contouring, geostatistics and kriging, processing and georeferencing of satellite images, digitizing from the screen, linear and nonlinear time-series analysis and the application of linear time-invariant and adaptive filters. Includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences.

Exploratory Data Analysis with MATLAB

Exploratory Data Analysis with MATLAB
Author: Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka
Publsiher: CRC Press
Total Pages: 590
Release: 2017-08-07
ISBN 10: 1315349841
ISBN 13: 9781315349848
Language: EN, FR, DE, ES & NL

Exploratory Data Analysis with MATLAB Book Review:

Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA Reviews Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data

Global Sensitivity Analysis

Global Sensitivity Analysis
Author: Andrea Saltelli,Marco Ratto,Terry Andres,Francesca Campolongo,Jessica Cariboni,Debora Gatelli,Michaela Saisana,Stefano Tarantola
Publsiher: John Wiley & Sons
Total Pages: 304
Release: 2008-02-28
ISBN 10: 9780470725177
ISBN 13: 0470725176
Language: EN, FR, DE, ES & NL

Global Sensitivity Analysis Book Review:

Complex mathematical and computational models are used in all areas of society and technology and yet model based science is increasingly contested or refuted, especially when models are applied to controversial themes in domains such as health, the environment or the economy. More stringent standards of proofs are demanded from model-based numbers, especially when these numbers represent potential financial losses, threats to human health or the state of the environment. Quantitative sensitivity analysis is generally agreed to be one such standard. Mathematical models are good at mapping assumptions into inferences. A modeller makes assumptions about laws pertaining to the system, about its status and a plethora of other, often arcane, system variables and internal model settings. To what extent can we rely on the model-based inference when most of these assumptions are fraught with uncertainties? Global Sensitivity Analysis offers an accessible treatment of such problems via quantitative sensitivity analysis, beginning with the first principles and guiding the reader through the full range of recommended practices with a rich set of solved exercises. The text explains the motivation for sensitivity analysis, reviews the required statistical concepts, and provides a guide to potential applications. The book: Provides a self-contained treatment of the subject, allowing readers to learn and practice global sensitivity analysis without further materials. Presents ways to frame the analysis, interpret its results, and avoid potential pitfalls. Features numerous exercises and solved problems to help illustrate the applications. Is authored by leading sensitivity analysis practitioners, combining a range of disciplinary backgrounds. Postgraduate students and practitioners in a wide range of subjects, including statistics, mathematics, engineering, physics, chemistry, environmental sciences, biology, toxicology, actuarial sciences, and econometrics will find much of use here. This book will prove equally valuable to engineers working on risk analysis and to financial analysts concerned with pricing and hedging.

Functional Data Analysis with R and MATLAB

Functional Data Analysis with R and MATLAB
Author: James Ramsay,Giles Hooker,Spencer Graves
Publsiher: Springer Science & Business Media
Total Pages: 202
Release: 2009-06-29
ISBN 10: 0387981853
ISBN 13: 9780387981857
Language: EN, FR, DE, ES & NL

Functional Data Analysis with R and MATLAB Book Review:

The book provides an application-oriented overview of functional analysis, with extended and accessible presentations of key concepts such as spline basis functions, data smoothing, curve registration, functional linear models and dynamic systems Functional data analysis is put to work in a wide a range of applications, so that new problems are likely to find close analogues in this book The code in R and Matlab in the book has been designed to permit easy modification to adapt to new data structures and research problems

Geophysical Data Analysis

Geophysical Data Analysis
Author: William Menke
Publsiher: Academic Press
Total Pages: 352
Release: 2018-04-10
ISBN 10: 0128135565
ISBN 13: 9780128135563
Language: EN, FR, DE, ES & NL

Geophysical Data Analysis Book Review:

Geophysical Data Analysis: Diverse Inverse Theory, Fourth Edition is a revised and expanded introduction to inverse theory and tomography as it is practiced by geophysicists. It demonstrates the methods needed to analyze a broad spectrum of geophysical datasets, with special attention to those methods that generate images of the earth. Data analysis can be a mathematically complex activity, but the treatment in this volume is carefully designed to emphasize those mathematical techniques that readers will find the most familiar and to systematically introduce less-familiar ones. Using problems and case studies, along with MATLAB computer code and summaries of methods, the book provides data scientists and engineers in geophysics with the tools necessary to understand and apply mathematical techniques and inverse theory. Includes material on probability, including Bayesian influence, probability density function and metropolis algorithm Offers detailed discussion of the application of inverse theory to tectonic, gravitational and geomagnetic studies Contains numerous examples, color figures and end-of-chapter homework problems to help readers explore and further understand presented ideas Includes MATLAB examples and problem sets Updated and refined throughout to bring the text in line with current understanding and improved examples and case studies Expanded sections to cover material, such as second-derivation smoothing and chi-squared tests not covered in the previous edition

Environmental Modeling

Environmental Modeling
Author: Ekkehard Holzbecher
Publsiher: Springer Science & Business Media
Total Pages: 410
Release: 2012-01-10
ISBN 10: 3642220428
ISBN 13: 9783642220425
Language: EN, FR, DE, ES & NL

Environmental Modeling Book Review:

The book has two aims: to introduce basic concepts of environmental modelling and to facilitate the application of the concepts using modern numerical tools such as MATLAB. It is targeted at all natural scientists dealing with the environment: process and chemical engineers, physicists, chemists, biologists, biochemists, hydrogeologists, geochemists and ecologists. MATLAB was chosen as the major computer tool for modeling, firstly because it is unique in it's capabilities, and secondly because it is available in most academic institutions, in all universities and in the research departments of many companies. In the 2nd edition many chapters will include updated and extended material. In addition the MATLAB command index will be updated and a new chapter on numerical methods will be added. For the second edition of 'Environmental Modeling' the first edition was completely revised. Text and figures were adapted to the recent MATLAB® version. Several chapters were extended. Correspondingly the index of MATLAB commands was extended considerably, which makes the book even more suitable to be used as a reference work by novices. Finally an introduction into numerical methods was added as a new chapter. “/p>

MATLAB

MATLAB
Author: Kelly Bennett
Publsiher: BoD – Books on Demand
Total Pages: 666
Release: 2014-09-08
ISBN 10: 953511719X
ISBN 13: 9789535117193
Language: EN, FR, DE, ES & NL

MATLAB Book Review:

MATLAB is an indispensable asset for scientists, researchers, and engineers. The richness of the MATLAB computational environment combined with an integrated development environment (IDE) and straightforward interface, toolkits, and simulation and modeling capabilities, creates a research and development tool that has no equal. From quick code prototyping to full blown deployable applications, MATLAB stands as a de facto development language and environment serving the technical needs of a wide range of users. As a collection of diverse applications, each book chapter presents a novel application and use of MATLAB for a specific result.

Data Analysis in the Earth Sciences Using Matlab

Data Analysis in the Earth Sciences Using Matlab
Author: Gerard V. Middleton
Publsiher: Unknown
Total Pages: 260
Release: 2000
ISBN 10:
ISBN 13: UCSD:31822028162485
Language: EN, FR, DE, ES & NL

Data Analysis in the Earth Sciences Using Matlab Book Review:

This unique book introduces earth scientists to MATLAB and its use for displaying and analyzing typical data sets encountered in geology, geophysics, or geography. Includes many MATLAB scripts to implement displays of graph types rarely provided by spreadsheets or presentation graphics programs. These include triangular diagrams, rose diagrams, stereographic projections, histograms with fitted normal curves, cumulative curves (plotted on probability paper), trend surface and residual contour plots, semivariograms, and divider plots for the determination of fractal dimension. Appropriate for those interested in Data Analysis found in geology, geography, or geographics.

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 10: 1119965284
ISBN 13: 9781119965282
Language: EN, FR, DE, ES & NL

Statistical Data Analysis Explained Book Review:

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.