東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

MATLAB recipes for earth sciences

Trauth, Martin H.

Linked to FindBook

Google Book

Amazon

博客來

MATLAB recipes for earth sciences

Record Type:	Electronic resources : Monograph/item
Title/Author:	MATLAB recipes for earth sciences/ by Martin H. Trauth.
Author:	Trauth, Martin H.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xii, 517 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Earth sciences - Mathematics. -
Online resource:	https://doi.org/10.1007/978-3-030-38441-8
ISBN:	9783030384418

MATLAB recipes for earth sciences
Trauth, Martin H.

MATLAB recipes for earth sciences[electronic resource] /by Martin H. Trauth. - Fifth edition - Cham :Springer International Publishing :2021. - xii, 517 p. :ill., digital ;24 cm. - Springer textbooks in earth sciences, geography and environment,2510-1307. - Springer textbooks in earth sciences, geography and environment..

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 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.

ISBN: 9783030384418

Standard No.: 10.1007/978-3-030-38441-8doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

551200
Earth sciences
--Mathematics.

LC Class. No.: QE33.2.M3

Dewey Class. No.: 550.151

MATLAB recipes for earth sciences
LDR:02539nmm a2200349 a 4500 001 2236771
003 DE-He213
005 20201202183946.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030384418 $q (electronic bk.)
020 $a 9783030384401 $q (paper)
024 7 $a 10.1007/978-3-030-38441-8 $2 doi
035 $a 978-3-030-38441-8
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
072 7 $a RBG $2 thema
082 0 4 $a 550.151 $2 23
090 $a QE33.2.M3 $b T777 2021
100 1 $a Trauth, Martin H. $3 1073913
245 1 0 $a MATLAB recipes for earth sciences $h [electronic resource] / $c by Martin H. Trauth.
250 $a Fifth edition
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xii, 517 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer textbooks in earth sciences, geography and environment, $x 2510-1307
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 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.
630 0 0 $a MATLAB. $3 532595
650 0 $a Earth sciences $x Mathematics. $3 551200
650 1 4 $a Quantitative Geology. $3 908377
650 2 4 $a Simulation and Modeling. $3 890873
650 2 4 $a Mathematical Applications in the Physical Sciences. $3 1566152
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer textbooks in earth sciences, geography and environment. $3 3241931
856 4 0 $u https://doi.org/10.1007/978-3-030-38441-8
950 $a Earth and Environmental Science (SpringerNature-11646)