國立高雄大學圖資館 |

Language: English

Back

MATLAB recipes for earth sciences

H. Trauth, Martin.

MATLAB recipes for earth sciences

Record Type:	Electronic resources : Monograph/item
Title/Author:	MATLAB recipes for earth sciencesby Martin H. Trauth.
remainder title:	MATLAB for earth sciences
Author:	H. Trauth, Martin.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2015.
Description:	xiv, 427 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Earth sciencesMathematics.
Online resource:	http://dx.doi.org/10.1007/978-3-662-46244-7
ISBN:	9783662462447 (electronic bk.)

MATLAB recipes for earth sciences
H. Trauth, Martin.

MATLAB recipes for earth sciences[electronic resource] /MATLAB for earth sciencesby Martin H. Trauth. - 4th ed. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xiv, 427 p. :ill. (some col.), digital ;24 cm.

Data Analysis in Earth Sciences -- Introduction to MATLAB -- Univariate Statistics -- Bivariate Statistics -- Time-Series Analysis -- Signal Processing -- Spatial Data -- Image Processing -- Multivariate Statistics -- Statistics on Directional Data.

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, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis. The revised and updated Fourth Edition includes sixteen new sections and most chapters have greatly been expanded so that they now include a step by step discussion of all methods before demonstrating the methods with MATLAB functions. New sections include: Array Manipulation; Control Flow; Creating Graphical User Interfaces; Hypothesis Testing; Kolmogorov-Smirnov Test; Mann-Whitney Test; Ansari-Bradley Test; Detecting Abrupt Transitions in Time Series; Exporting 3D Graphics to Create Interactive Documents; Importing, Processing and Exporting LANDSAT Images; Importing and Georeferencing TERRA ASTER Images; Processing and Exporting EO-1 Hyperion Images; Image Enhancement; Correction and Rectification; Shape-Based Object Detection in Images; Discriminant Analysis; and Multiple Linear Regression. The text includes numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. The book's supplementary electronic material (available online through Springer Link) includes recipes that include all the MATLAB commands featured in the book and the example data.

ISBN: 9783662462447 (electronic bk.)

Standard No.: 10.1007/978-3-662-46244-7doiSubjects--Topical Terms:

276480
Earth sciences
--Mathematics.

LC Class. No.: QE33.2.M3

Dewey Class. No.: 550.151

MATLAB recipes for earth sciences
LDR:02818nmm a2200337 a 4500 001 461797
003 DE-He213
005 20150910150530.0
006 m d
007 cr nn 008maaau
008 151110s2015 gw s 0 eng d
020 $a 9783662462447 (electronic bk.)
020 $a 9783662462430 (paper)
024 7 $a 10.1007/978-3-662-46244-7 $2 doi
035 $a 978-3-662-46244-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QE33.2.M3
072 7 $a RBG $2 bicssc
072 7 $a SCI031000 $2 bisacsh
082 0 4 $a 550.151 $2 23
090 $a QE33.2.M3 $b H111 2015
100 1 $a H. Trauth, Martin. $3 714156
245 1 0 $a MATLAB recipes for earth sciences $h [electronic resource] / $c by Martin H. Trauth.
246 3 $a MATLAB for earth sciences
250 $a 4th ed.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a xiv, 427 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Data Analysis in Earth Sciences -- Introduction to MATLAB -- Univariate Statistics -- Bivariate Statistics -- Time-Series Analysis -- Signal Processing -- Spatial Data -- Image Processing -- Multivariate Statistics -- Statistics on Directional Data.
520 $a 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, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis. The revised and updated Fourth Edition includes sixteen new sections and most chapters have greatly been expanded so that they now include a step by step discussion of all methods before demonstrating the methods with MATLAB functions. New sections include: Array Manipulation; Control Flow; Creating Graphical User Interfaces; Hypothesis Testing; Kolmogorov-Smirnov Test; Mann-Whitney Test; Ansari-Bradley Test; Detecting Abrupt Transitions in Time Series; Exporting 3D Graphics to Create Interactive Documents; Importing, Processing and Exporting LANDSAT Images; Importing and Georeferencing TERRA ASTER Images; Processing and Exporting EO-1 Hyperion Images; Image Enhancement; Correction and Rectification; Shape-Based Object Detection in Images; Discriminant Analysis; and Multiple Linear Regression. The text includes numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. The book's supplementary electronic material (available online through Springer Link) includes recipes that include all the MATLAB commands featured in the book and the example data.
650 0 $a Earth sciences $x Mathematics. $3 276480
650 0 $a Earth sciences $x Data processing. $3 339540
650 1 4 $a Earth Sciences. $3 309702
650 2 4 $a Quantitative Geology. $3 286724
650 2 4 $a Simulation and Modeling. $3 273719
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-46244-7
950 $a Earth and Environmental Science (Springer-11646)