MATLAB Recipes for Earth Sciences

This book 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, ...

MATLAB   Recipes for Earth Sciences

MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models, and the analysis of time series. This book 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. The revised and updated Third Edition includes ten new sections and has greatly expanded on most chapters from the previous edition, including a step by step discussion of all methods before demonstrating the methods with MATLAB functions. New sections include: Data Storage and Handling, Data Structures and Classes of Objects, Generating M-Files to Regenerate Graphs, Publishing M-Files, Distribution Fitting, Nonlinear and Weighted Regression, Color-Intensity Transects of Varved Sediments, and Grain Size Analysis from Microscope Images. The text includes numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. All MATLAB recipes can be easily modified in order to analyse the reader's own data sets.

MATLAB and Design Recipes for Earth Sciences

The text of this book includes numerous examples on the use of internet resources, on the visualization of data with MATLAB, and on preparing scientific presentations.

MATLAB   and Design Recipes for Earth Sciences

The overall aim of the book is to introduce students to the typical course followed by a data analysis project in earth sciences. A project usually involves searching relevant literature, reviewing and ranking published books and journal articles, extracting relevant information from the literature in the form of text, data, or graphs, searching and processing the relevant original data using MATLAB, and compiling and presenting the results as posters, abstracts, and oral presentations using graphics design software. The text of this book includes numerous examples on the use of internet resources, on the visualization of data with MATLAB, and on preparing scientific presentations. As with its sister book MATLAB Recipes for Earth Sciences–3rd Edition (2010), which demonstrates the use of statistical and numerical methods on earth science data, this book uses state-of-the art software packages, including MATLAB and the Adobe Creative Suite, to process and present geoscientific information collected during the course of an earth science project. The book's supplementary electronic material (available online through the publisher's website) includes color versions of all figures, recipes with all the MATLAB commands featured in the book, the example data, exported MATLAB graphics, and screenshots of the most important steps involved in processing the graphics.

MATLAB Recipes for Earth Sciences

This book introduces readers to MATLAB-based data analysis methods used in the geosciences, including basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and ...

MATLAB   Recipes for Earth Sciences

MATLAB® is used in a wide range of geoscientific applications, e.g. for image processing in remote sensing, for creating and processing digital elevation models, and for analyzing time series. This book introduces readers to MATLAB-based data analysis methods used in the geosciences, including basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis. The revised and updated Fifth Edition includes seven new sections, and the majority of the chapters have been rewritten and significantly expanded. New sections include error analysis, the problem of classical linear regression of log-transformed data, aligning stratigraphic sequences, the Normalized Difference Vegetation Index, Aitchison’s log-ratio transformation, graphical representation of spherical data, and statistics of spherical data. The book also includes numerous examples demonstrating how MATLAB can be used on datasets from the earth sciences. The supplementary electronic material (available online through SpringerLink) contains recipes that include all the MATLAB commands featured in the book and the sample data.

MATLAB Recipes for Earth Sciences

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MATLAB   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 sciences.

MATLAB Recipes for Earth Sciences

This book 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, ...

MATLAB   Recipes for Earth Sciences

MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models, and the analysis of time series. This book 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. The revised and updated Third Edition includes ten new sections and has greatly expanded on most chapters from the previous edition, including a step by step discussion of all methods before demonstrating the methods with MATLAB functions. New sections include: Data Storage and Handling, Data Structures and Classes of Objects, Generating M-Files to Regenerate Graphs, Publishing M-Files, Distribution Fitting, Nonlinear and Weighted Regression, Color-Intensity Transects of Varved Sediments, and Grain Size Analysis from Microscope Images. The text includes numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. All MATLAB recipes can be easily modified in order to analyse the reader's own data sets.

Choice

44-0951 Trauth , Martin H. MATLAB recipes for earth sciences . 44-0977 Tribe ,
Ivan . Country : a regional exploration ... 44-1031 Turns , Stephen R.
Thermodynamics : concepts and applications . 44-0946 Tusan , Michelle
Elizabeth . Women ...

Choice


Energy Environment and Sustainable Development

[7] Eric van Doorn, Brindesh Dhruva, KatePalli R.Sreenivasan. Statistics of wind
direction and its increments. Physics of Fluids, 2000 ... MATLAB recipes for earth
sciences .Berlin: Springer Berlin Heidelberg, 263-277. Applied Mechanics and ...

Energy  Environment and Sustainable Development

The collection includes selected, peer reviewed papers from the 2012 Asian Pacific Conference on Energy, Environment and Sustainable Development (APEESD 2012) held November 12-13, 2012 in Kuala Lumpur, Malaysia. The 223 papers are grouped into the following chapters: Chapter 1: Energy Science and Saving Technology, Chapter 2: Motivation, Thermal, Electronics and Power Engineering, Chapter 3: Environmental Science, Analysis and Engineering.

Journal of the Air Waste Management Association

Trauth , M.H. MATLAB Recipes for Earth Sciences ; Springer : New York , 2007 .
18. ... Millán , M .; Salvador , R .; Mantilla , E. Methodology and Photochemical Air
Pollution in Southern Europe : Experimental Results from EC Research Projects
 ...

Journal of the Air   Waste Management Association


Numerical and Statistical Methods with SCILAB for Science and Engineering

Kottegoda , N . T . , and R . Rosso , 1997 , " Probability , Statistics , and Reliability
for Civil and Environmental ... Middleton , G . V . , 2000 , “ Data Analysis in the
Earth Sciences Using Matlab® , " Prentice Hall , Upper Saddle River , New
Jersey ...

Numerical and Statistical Methods with SCILAB for Science and Engineering

Numerical and statistical methods with the free software SCILAB (http://www-rocq.inria.fr/scilab/)

Differential Equations and Boundary Value Problems

2 of William H . Press et al . , Numerical Recipes : The Art of Scientific Computing
( Cambridge University Press , 1986 ) . Several widely available scientific
computing packages ( such as Maple , Mathematica , and MATLAB ) include ...
equation of motion of m ; is Gmimi ( ri mir ' = - r ; ) , ( 26 ) iti ( rij ) 3 where rij = \ r ; -
r ; | denotes the distance between mi and mj . ... Earth - Moon Satellite Orbits S (
x1 , x2 ) For an example of a program whose efficient solution requires adaptive
step size ...

Differential Equations and Boundary Value Problems


Small and Mesoscale Processes and Their Impact on the Large Scale

The Rotation of the Earth . ... Abyssal recipes II : energetics of tidal and wind
mixing . ... Classical tidal harmonic analysis including error estimates in MATLAB
using T - TIDE . Computers and Geosciences 28 , 929–937 . ... P.E. , Klymak ,
J.M. , Kunze , E. , Lee , C.M. , Levine , M.D. , Luther , D.S. , Martin , J.P. , Merrifield
, M.A. , Moum , J.N. , Nash , J.D. , Pinkel , R. , Rainville , L. , Sanford , T.B. , 2003.

Small and Mesoscale Processes and Their Impact on the Large Scale


American Book Publishing Record

043 The double in the fiction of R . L . Stevenson , Wilkie Collins , and Daphne du
Maurier . 823 . ... 8 Earth . 550 An earth - colored sea . 305 . 869 Earthquake
science and seismic risk reduction . 551 . 22072 East Asia integrates . 382 .

American Book Publishing Record


Differential Equations

Differential Equations

This work focuses on the mathematical modelling of real-world phenomena. It contains 2000 graded problems and computer projects that illustrate the use of computer algebra systems, like Maple, Mathematica and MATLAB.

Algorithms for Multispectral and Hyperspectral Imagery IV

13-14 April 1998, Orlando, Florida Sylvia S. Shen, Michael R. Descour ... 5th .
annual JPL Airborne Earth Science Workshop : AVIRIS Workshop , R. O. Green ,
ed . , Jan 23-27 , 1995 . ... W. H. Press , S. A. Teukolski , W. T. Vetterling , and
B. P. Flannery , Numerical Recipes in C , Cambridge University Press ... A. Grace
, Optimization Toolbox : For with Matlab , The Math Works , Inc. , Natick , Mass . ,
1992 .

Algorithms for Multispectral and Hyperspectral Imagery IV

Divided into four sections, these conference papers cover: detection and classification; image enhancement and data compression; data fusion and sharpening; sensors, calibration, and correction.

Fundamentals of Space Environment Science

... Grants 4787071 2003 , 477819 / 2003-6 , 382465 / 01-6 . objectively the solar
cycle variations correlated to some features of the Earth's climate . ... Recipes
www.nr.com/public-domain.html Rice www-dsp.rice.edu/software/ rwt.shtml
Wavelab / MatLab www-stat.Stanford.edu/~wavelab/ WPLab www.math.wustl.
edu/~victor/ software / WPLab / WaveTresh / R ... it is an attempt to characterize
the efforts directed to the wavelet applications in Atmospheric Sciences , by a
selection of some ...

Fundamentals of Space Environment Science