000			02604cam a22003374a 4500
001			0000069372
003			0001
008			160818s2010 gw#ab b 001 0 eng c
020			_a9783642127618
020			_a3642127614 (acid-free paper)
020			_z9783642127625 (e-ISBN)
020			_z3642127622 (e-ISBN)
035			_a(OCoLC)ocn664428217
040			_aYDXCP _cYDXCP _dCDX _dMUU _dGZM _dIQU _dDLC
042			_apcc
082			_a550
084			_a550 _bTRA-M
100	1		_aTrauth, Martin H.
245	1	0	_aMATLAB recipes for earth sciences / _h[Book] / _cMartin H. Trauth ; with contributions by Robin Gebbers and Norbert Marwan and illustrations by Elisabeth Sillmann.
250			_a3rd ed.
260			_aNew York : _aNew York : _bSpringer, _cc2010.
300			_axi, 336 p. : _bill. (some col.), maps ; _c24 cm. + _e1 CD-ROM (4 3/4 in.).
365			_a01 _b5,542.82
520			_aMATLABʼ 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, jackknife and bootstrap resampling schemes, processing of digital elevation models, gridding and contouring, geostatistics and kriging, processing and georeferencing of satellite images, digitizing from the screen, linear and nonlinear time-series analysis, and the application of linear time-invariant and adaptive filters. The revised and updated Third Edition includes ten new sections and has greatly expanded on most chapters from the previous edition, including a step by step discussion of all methods before demonstrating the methods with MATLAB functions. New sections include: Data Storage and Handling, Data Structures and Classes of Objects, Generating M-Files to Regenerate Graphs, Publishing M-Files, Distribution Fitting, Nonlinear and Weighted Regression, Color-Intensity Transects of Varved Sediments, and Grain Size Analysis from Microscope Images. The text includes 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.
521			_aAll.
650		0	_aEarth sciences _xMathematics.
650		0	_aEarth sciences _xData processing.
700			_aGebbers, Robin.
700	1		_aMarwan, Norbert.
852			_p37316 _95542.82 _vMultiline Books _dBooks
999			_c152791 _d152791