Python Recipes for Earth Sciences
Author | : Martin H. Trauth |
Publisher | : Springer Nature |
Total Pages | : 463 |
Release | : 2022-09-28 |
ISBN-10 | : 9783031077197 |
ISBN-13 | : 3031077199 |
Rating | : 4/5 (97 Downloads) |
Download or read book Python Recipes for Earth Sciences written by Martin H. Trauth and published by Springer Nature. This book was released on 2022-09-28 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.