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 : 13 April 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

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,Angel Martinez
  • Publisher : CRC Press
  • Release : 29 November 2004
GET THIS BOOKExploratory Data Analysis with MATLAB

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

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

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

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

Functional Data Analysis with R and MATLAB

Functional Data Analysis with R and MATLAB
  • Author : James Ramsay,Giles Hooker,Spencer Graves
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2009
GET THIS BOOKFunctional Data Analysis with R and MATLAB

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

Computational Statistics in the Earth Sciences

Computational Statistics in the Earth Sciences
  • Author : Alan D. Chave
  • Publisher : Cambridge University Press
  • Release : 31 October 2017
GET THIS BOOKComputational Statistics in the Earth Sciences

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

Signals and Systems Laboratory with MATLAB

Signals and Systems Laboratory with MATLAB
  • Author : Alex Palamides,Anastasia Veloni
  • Publisher : CRC Press
  • Release : 13 August 2010
GET THIS BOOKSignals and Systems Laboratory with MATLAB

With its exhaustive coverage of relevant theory, Signals and Systems Laboratory with MATLAB is a powerful resource that provides simple, detailed instructions on how to apply computer methods to signals and systems analysis. Written for laboratory work in a course on signals and systems, this book presents a corresponding MATLAB implementation for

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,

Accelerating MATLAB Performance

Accelerating MATLAB Performance
  • Author : Yair M. Altman
  • Publisher : CRC Press
  • Release : 11 December 2014
GET THIS BOOKAccelerating MATLAB Performance

The MATLAB® programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB. Ideal for novices and professionals alike, the book describes MATLAB performance in a scale

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

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

Advanced Structural Analysis with MATLAB®

Advanced Structural Analysis with MATLAB®
  • Author : Srinivasan Chandrasekaran
  • Publisher : CRC Press
  • Release : 07 December 2018
GET THIS BOOKAdvanced Structural Analysis with MATLAB®

Building structures are unique in the field of engineering, as they pose challenges in the development and conceptualization of their design. As more innovative structural forms are envisioned, detailed analyses using computer tools are inevitable. This book enables readers to gain an overall understanding of computer-aided analysis of various types of structural forms using advanced tools such as MATLAB®. Detailed descriptions of the fundamentals are explained in a "classroom" style, which will make the content more user-friendly and easier to

Applications from Engineering with MATLAB Concepts

Applications from Engineering with MATLAB Concepts
  • Author : Jan Valdman
  • Publisher : BoD – Books on Demand
  • Release : 07 July 2016
GET THIS BOOKApplications from Engineering with MATLAB Concepts

The book presents a collection of MATLAB-based chapters of various engineering background. Instead of giving exhausting amount of technical details, authors were rather advised to explain relations of their problems to actual MATLAB concepts. So, whenever possible, download links to functioning MATLAB codes were added and a potential reader can do own testing. Authors are typically scientists with interests in modeling in MATLAB. Chapters include image and signal processing, mechanics and dynamics, models and data identification in biology, fuzzy logic,