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Python Recipes for Earth Sciences

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Python Recipes for Earth Sciences Synopsis

Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.

About This Edition

ISBN: 9783031077210
Publication date:
Author: Martin H Trauth
Publisher: Springer an imprint of Springer International Publishing
Format: Paperback
Pagination: 453 pages
Series: Springer Textbooks in Earth Sciences, Geography and Environment
Genres: Earth sciences
Geophysics
Geographical information systems, geodata and remote sensing