國立虎尾科技大學 |

MATLAB® Recipes for Earth Sciences

Record Type:	Language materials, printed : Monograph/item
Title/Author:	MATLAB® Recipes for Earth Sciences/ by Martin H. Trauth.
Author:	Trauth, Martin H.
Description:	XII, 517 p. 142 illus., 122 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Geology—Statistical methods. -
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. - 5th ed. 2021. - XII, 517 p. 142 illus., 122 illus. in color.online resource. - Springer Textbooks in Earth Sciences, Geography and Environment,2510-1315. - 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--Topical Terms:

1254867
Geology—Statistical methods.

LC Class. No.: QE33.2.S82

Dewey Class. No.: 553

MATLAB® Recipes for Earth Sciences
LDR:02907nam a22004095i 4500 001 1049992
003 DE-He213
005 20210815005619.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030384418 $9 978-3-030-38441-8
024 7 $a 10.1007/978-3-030-38441-8 $2 doi
035 $a 978-3-030-38441-8
050 4 $a QE33.2.S82
072 7 $a RBG $2 bicssc
072 7 $a SCI031000 $2 bisacsh
072 7 $a RBG $2 thema
082 0 4 $a 553 $2 23
100 1 $a Trauth, Martin H. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1202061
245 1 0 $a MATLAB® Recipes for Earth Sciences $h [electronic resource] / $c by Martin H. Trauth.
250 $a 5th ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XII, 517 p. 142 illus., 122 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Springer Textbooks in Earth Sciences, Geography and Environment, $x 2510-1315
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.
650 0 $a Geology—Statistical methods. $3 1254867
650 0 $a Computer simulation. $3 560190
650 0 $a Mathematical physics. $3 527831
650 1 4 $a Quantitative Geology. $3 682376
650 2 4 $a Simulation and Modeling. $3 669249
650 2 4 $a Mathematical Applications in the Physical Sciences. $3 786649
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030384401
776 0 8 $i Printed edition: $z 9783030384425
776 0 8 $i Printed edition: $z 9783030384432
830 0 $a Springer Textbooks in Earth Sciences, Geography and Environment, $x 2510-1307 $3 1280113
856 4 0 $u https://doi.org/10.1007/978-3-030-38441-8
912 $a ZDB-2-EES
912 $a ZDB-2-SXEE
950 $a Earth and Environmental Science (SpringerNature-11646)
950 $a Earth and Environmental Science (R0) (SpringerNature-43711)