Python Recipes for Earth Sciences
- 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.
| Author details: | Martin H. TrauthORCiDGND |
|---|---|
| DOI: | https://doi.org/10.1007/978-3-031-07719-7 |
| ISBN: | 978-3-031-07719-7 |
| ISBN: | 978-3-031-07718-0 |
| ISBN: | 978-3-031-07720-3 |
| ISBN: | 978-3-031-07721-0 |
| ISSN: | 2510-1307 |
| ISSN: | 2510-1315 |
| Title of parent work (English): | Springer Textbooks in Earth Sciences, Geography and Environment |
| Publisher: | Springer |
| Place of publishing: | Cham |
| Publication type: | Monograph/Edited Volume |
| Language: | English |
| Year of first publication: | 2022 |
| Publication year: | 2022 |
| Release date: | 2022/11/16 |
| Tag: | climate time series analysis; computational geosciences; digital elevation models; geoinformatics; geomodeling; geostatistics; mathematical geology |
| Number of pages: | 453 |
| Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften |
| DDC classification: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
