000 03121nam a22003975i 4500
001 978-3-642-12762-5
003 DE-He213
005 20140220084536.0
007 cr nn 008mamaa
008 100628s2010 gw | s |||| 0|eng d
020 _a9783642127625
_9978-3-642-12762-5
024 7 _a10.1007/978-3-642-12762-5
_2doi
100 1 _aTrauth, Martin H.
_eauthor.
245 1 0 _aMATLAB® Recipes for Earth Sciences
_h[electronic resource] /
_cby Martin H. Trauth.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _aXI, 336p. 25 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aData Analysis in Earth Sciences -- to MATLAB -- Univariate Statistics -- Bivariate Statistics -- Time-Series Analysis -- Signal Processing -- Spatial Data -- Image Processing -- Multivariate Statistics -- Statistics on Directional Data.
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.
650 0 _aGeography.
650 0 _aMathematical geography.
650 0 _aGeologyxMathematics.
650 1 4 _aEarth Sciences.
650 2 4 _aComputer Applications in Earth Sciences.
650 2 4 _aQuantitative Geology.
650 2 4 _aMathematical Applications in Earth Sciences.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642127618
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-12762-5
912 _aZDB-2-EES
999 _c112134
_d112134