國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

MATLAB recipes for earth sciences

SpringerLink (Online service)

MATLAB recipes for earth sciences

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	MATLAB recipes for earth sciencesby Martin H. Trauth.
作者:	Trauth, Martin H.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xii, 517 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Earth sciencesMathematics.
電子資源:	https://doi.org/10.1007/978-3-030-38441-8
ISBN:	9783030384418$q(electronic bk.)

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$q(electronic bk.)

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

MATLAB.
Subjects--Topical Terms:

276480
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 596311
003 DE-He213
005 20201202183946.0
006 m d
007 cr nn 008maaau
008 211013s2021 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 470425
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 181993
650 0 $a Earth sciences $x Mathematics. $3 276480
650 1 4 $a Quantitative Geology. $3 286724
650 2 4 $a Simulation and Modeling. $3 273719
650 2 4 $a Mathematical Applications in the Physical Sciences. $3 522718
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer textbooks in earth sciences, geography and environment. $3 785297
856 4 0 $u https://doi.org/10.1007/978-3-030-38441-8
950 $a Earth and Environmental Science (SpringerNature-11646)