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MATLAB� Recipes for Earth Sciences

By: Trauth, Martin H [author.].
Contributor(s): SpringerLink (Online service)0.
Material type: materialTypeLabelBookBerlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006. Description: IX, 237 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540279846.Subject(s): Earth sciences. 0 | Geology -- Statistical methods.14 | Earth Sciences.24 | Quantitative Geology.24 | Earth Sciences, general.2DDC classification: 553 Online resources: Click here to access online
Contents:
Data Analysis in Earth Sciences -- to MATLAB -- Univariate Statistics -- Bivariate Statistics -- Time-Series Analysis -- Signal Processing -- Spatial Data -- Image Processing -- Multivariate Statistics.
In: Springer eBooks08Summary: MATLAB� is used in a wide range of applications in geosciences, such as image processing in remote sensing, generation and processing of digital elevation models and the analysis of time series. This book introduces basic methods of data analysis in geosciences using MATLAB. The text includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. All MATLAB recipes can be easily modified in order to analyse the reader's own data sets. 0
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Item type Current location Call number Status Date due Barcode Item holds
PK Kelkar Library, IIT Kanpur
Available EBK4706
Total holds: 0

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

MATLAB� is used in a wide range of applications in geosciences, such as image processing in remote sensing, generation and processing of digital elevation models and the analysis of time series. This book introduces basic methods of data analysis in geosciences using MATLAB. The text includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. All MATLAB recipes can be easily modified in order to analyse the reader's own data sets. 0

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