书目名称 | MATLAB® Recipes for Earth Sciences | 编辑 | Martin H. Trauth | 视频video | | 概述 | Contains new subchapters and a full new chapter on the statistical analysis of directional data.Contains exercises and fully worked-out solutions.Many detailed illustrations.Includes supplementary mat | 图书封面 |  | 描述 | .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 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 Second Edition includes new subchapters on windowed Blackman-Tukey, Lomb-Scargle and Wavelet powerspectral analysis, statistical analysis of point distributions and digital elevation models, and a full new chapter on the statistical analysis of directional data. 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.. | 出版日期 | Book 20072nd edition | 关键词 | Data analysis; Geosciences; Kriging; MATLAB; digital elevation model; directional data; geoscience | 版次 | 2 | doi | https://doi.org/10.1007/978-3-540-72749-1 | isbn_ebook | 978-3-540-72749-1 | copyright | Springer-Verlag Berlin Heidelberg 2007 |
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