| 书目名称 | Python Recipes for Earth Sciences |
| 编辑 | Martin H. Trauth |
| 视频video | |
| 概述 | Introduces methods of data analysis in geosciences using Python.Contains a complete collection of computer codes and sample data, as well as an accompanying blog.Written by an expert for geoscientific |
| 丛书名称 | Springer Textbooks in Earth Sciences, Geography and Environment |
| 图书封面 |  |
| 描述 | .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. Codes are available online through GitHub.. |
| 出版日期 | Textbook 2024Latest edition |
| 关键词 | Computational geosciences; Geostatistics; Digital elevation models; Climate time series analysis; Geomod |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-031-56906-7 |
| isbn_softcover | 978-3-031-56908-1 |
| isbn_ebook | 978-3-031-56906-7Series ISSN 2510-1307 Series E-ISSN 2510-1315 |
| issn_series | 2510-1307 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 16:07:28
