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Titlebook: MATLAB® Recipes for Earth Sciences; Martin H. Trauth Textbook 2021Latest edition The Editor(s) (if applicable) and The Author(s), under ex

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Introduction to MATLAB,input and output (Sects. . and .), programming (Sects. . and .), and visualization (Sect. .). Advanced sections are also included on generating M-files to recreate graphics (Sect. .), on publishing and sharing MATLAB code (Sect. .), and on creating graphical user interfaces (Sect. .).
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Univariate Statistics,ve statistics) (Sects. . and .). We then select a theoretical distribution that shows similar characteristics to the empirical distribution (Sects. . and .). We then try to draw conclusions from the sample that can be applied to the larger population of interest (hypothesis testing) (Sects. .–.). Se
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Bivariate Statistics,s (Sects. ., .–.). A selection of other methods that are also used to assess the uncertainties in regression analysis are also explained (Sects. .–.). All methods are illustrated by means of synthetic examples since these provide an excellent means of assessing the final outcome.
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Image Processing,ined (Sect. .). The main tools for importing, manipulating and exporting image data are then presented in Sect. .. This knowledge is then used to process and to georeference satellite images (Sects. .–.). On-screen digitization techniques are discussed in Sect. .. Sections . and . deal with importin
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