Name: Matlab(r) Recipes for Earth Sciences (en Inglés)
Price: 100780.00 CLP
Availability: InStock
Author: Trauth, Martin H.
ISBN: 9783662500330

portada Matlab(r) Recipes for Earth Sciences (en Inglés)

Formato

Libro Físico

Autor

Martin H. Trauth

Editorial

Springer

Idioma

Inglés

N° páginas

427

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 2.3 cm

Peso

0.62 kg.

ISBN13

9783662500330

N° edición

0004

Categorías

Geología, geomorfología y litosfera
Modelos y simulaciones por ordenador

Matlab(r) Recipes for Earth Sciences (en Inglés)

Martin H. Trauth (Autor) · Springer · Tapa Blanda

Libro Físico

$ 100.780

$ 167.970

Ahorras: $ 67.190

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Reseña del libro "Matlab(r) Recipes for Earth Sciences (en Inglés)"

MATLAB(R) 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.