| 書(shū)目名稱 | Python Recipes for Earth Sciences |
| 編輯 | Martin H. Trauth |
| 視頻video | http://file.papertrans.cn/765/764233/764233.mp4 |
| 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 |
| 叢書(shū)名稱 | Springer Textbooks in Earth Sciences, Geography and Environment |
| 圖書(shū)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. 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.. |
| 出版日期 | Textbook 2022 |
| 關(guān)鍵詞 | computational geosciences; geoinformatics; geostatistics; mathematical geology; geomodeling; digital elev |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-07719-7 |
| isbn_softcover | 978-3-031-07721-0 |
| isbn_ebook | 978-3-031-07719-7Series 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 |
|Archiver|手機(jī)版|小黑屋|
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