MARC Record from harvard_bibliographic_metadata

LEADER: 03257cam a2200445Ka 4500
001 012609791-7
005 20130626021105.0
008 100917s2010 gw ab b 001 0 eng d
010 $a 2010930277
020 $a3642127614
020 $a9783642127618
035 0 $aocn664428217
040 $aYDXCP$cYDXCP$dCDX$dMUU
050 4 $aQE33.2.M3$bT73 2010
082 04 $a550.1/51$222
100 1 $aTrauth, Martin H.
245 10 $aMATLAB® recipes for earth sciences /$cMartin H. Trauth with contributions by Robin Gebbers and Norbert Marwan and illustrations by Elisabeth Sillmann.
250 $a3rd ed.
260 $aHeidelberg ;$aNew York :$bSpringer,$cc2010
300 $axi, 336 p. :$bill. (some col.), maps ;$c24 cm. +$e1 CD-ROM (4 3/4 in.)
504 $aIncludes bibliographical references and index.
505 0 $aContents -- Preface -- 1. Data Analysis in Earth Sciences -- 2. Introduction to MATLAB -- 3. Univariate Statistics -- 4. Bivariate Statistics -- 5. Time-Series Analysis -- 6. Signal Processing -- 7. Spatial Data -- 8. Image Processing -- 9. Multivariate Statistics -- 10. Statistics on Directional Data -- General Index.
520 $aMATLAB® 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. The online files accompanying the book contain exemplary data sets and a digital version of the MATLAB recipes.
655 0 $aCD-ROMs.
630 00 $aMATLAB.
650 0 $aEarth sciences$xMathematics.
650 0 $aEarth sciences$xData processing.
650 0 $aGeography
650 0 $aMathematical geography
650 0 $aGeologyxMathematics
650 14 $aEarth Sciences
650 24 $aComputer Applications in Earth Sciences
650 24 $aQuantitative Geology
650 24 $aMathematical Applications in Earth Sciences
700 1 $aGebbers, Robin.
700 1 $aMarwan, Norbert.
899 $a415_565886
988 $a20101109
049 $aCLSL
906 $0OCLC