Environmental 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 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

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  • Author : William Menke
  • Publisher : Elsevier
  • Pages : 263 pages
  • ISBN : 0123918863
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKEnvironmental Data Analysis with MatLab

Environmental Data Analysis with MatLab

Environmental Data Analysis with MatLab
  • Author : William Menke,Joshua Ephraim Menke
  • Publisher : Elsevier
  • Release : 03 July 2022
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

Environmental Systems Analysis with MATLAB®

Environmental Systems Analysis with MATLAB®
  • Author : Stefano Marsili-Libelli
  • Publisher : CRC Press
  • Release : 03 September 2018
GET THIS BOOKEnvironmental Systems Analysis with MATLAB®

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

Exploratory Data Analysis with MATLAB

Exploratory Data Analysis with MATLAB
  • Author : Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka
  • Publisher : CRC Press
  • Release : 07 August 2017
GET THIS BOOKExploratory Data Analysis with MATLAB

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

Environmental Data Analysis with MatLab

Environmental Data Analysis with MatLab
  • Author : William Menke,Joshua Menke
  • Publisher : Academic Press
  • Release : 07 March 2016
GET THIS BOOKEnvironmental Data Analysis with MatLab

Environmental Data Analysis with MatLab is a new edition that expands fundamentally on the original with an expanded tutorial approach, 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. Since publication of the bestselling Environmental Data Analysis with MATLAB®, many advances have been made in environmental data analysis. One only has to consider the global warming debate to realize how critically important it is

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
  • Publisher : Springer Science & Business Media
  • Release : 26 November 2013
GET THIS BOOKData-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering

“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

MATLAB® Recipes for Earth Sciences

MATLAB® Recipes for Earth Sciences
  • Author : Martin H. Trauth,Robin Gebbers,Norbert Marwan
  • Publisher : Springer Science & Business Media
  • Release : 03 July 2022
GET THIS BOOKMATLAB® Recipes for Earth Sciences

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

Basic Environmental Data Analysis for Scientists and Engineers

Basic Environmental Data Analysis for Scientists and Engineers
  • Author : Ralph R.B. Von Frese
  • Publisher : CRC Press
  • Release : 22 November 2019
GET THIS BOOKBasic Environmental Data Analysis for Scientists and Engineers

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

Environmental Modeling

Environmental Modeling
  • Author : Ekkehard Holzbecher
  • Publisher : Springer Science & Business Media
  • Release : 10 January 2012
GET THIS BOOKEnvironmental Modeling

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

Environmental Data Analysis with MatLab

Environmental Data Analysis with MatLab
  • Author : William Menke
  • Publisher : Academic Press
  • Release : 15 August 2022
GET THIS BOOKEnvironmental Data Analysis with MatLab

Now in its Fifth Edition, The Nuts and Bolts of Proofs: An Introduction to Mathematical Proofs provides basic logic of mathematical proofs and shows how mathematical proofs work. It offers techniques for both reading and writing proofs. The second chapter of the book discusses the techniques in proving if/then statements by contrapositive and proofing by contradiction. It also includes the negation statement, and/or. It examines various theorems, such as the if and only-if, or equivalence theorems, the existence

Basic Environmental Data Analysis for Scientists and Engineers

Basic Environmental Data Analysis for Scientists and Engineers
  • Author : Ralph R.B. Von Frese
  • Publisher : CRC Press
  • Release : 22 November 2019
GET THIS BOOKBasic Environmental Data Analysis for Scientists and Engineers

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

Global Sensitivity Analysis

Global Sensitivity Analysis
  • Author : Andrea Saltelli,Marco Ratto,Terry Andres,Francesca Campolongo,Jessica Cariboni,Debora Gatelli,Michaela Saisana,Stefano Tarantola
  • Publisher : John Wiley & Sons
  • Release : 28 February 2008
GET THIS BOOKGlobal Sensitivity Analysis

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

Geophysical Data Analysis: Discrete Inverse Theory

Geophysical Data Analysis: Discrete Inverse Theory
  • Author : William Menke
  • Publisher : Academic Press
  • Release : 02 December 2012
GET THIS BOOKGeophysical Data Analysis: Discrete Inverse Theory

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,

Business Economics and Finance with MATLAB, GIS, and Simulation Models

Business Economics and Finance with MATLAB, GIS, and Simulation Models
  • Author : Patrick L. Anderson
  • Publisher : CRC Press
  • Release : 27 July 2004
GET THIS BOOKBusiness Economics and Finance with MATLAB, GIS, and Simulation Models

This book takes recent theoretical advances in Finance and Economics and shows how they can be implemented in the real world. It presents tactics for using mathematical and simulation models to solve complex tasks of forecasting income, valuing businesses, predicting retail sales, and evaluating markets and tax and regulatory problems. Busine

Computational Statistics Handbook with MATLAB

Computational Statistics Handbook with MATLAB
  • Author : Wendy L. Martinez,Angel R. Martinez
  • Publisher : CRC Press
  • Release : 20 December 2007
GET THIS BOOKComputational Statistics Handbook with MATLAB

As with the bestselling first edition, Computational Statistics Handbook with MATLAB, Second Edition covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as

Multi-Sensor Data Fusion with MATLAB®

Multi-Sensor Data Fusion with MATLAB®
  • Author : Jitendra R. Raol
  • Publisher : CRC Press
  • Release : 16 December 2009
GET THIS BOOKMulti-Sensor Data Fusion with MATLAB®

Using MATLAB® examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly for aerospace applications, although the methods can also be applied to systems in other areas, such as biomedicine, military defense, and environmental engineering. After presenting several useful strategies and algorithms for DF and