| 書(shū)目名稱 | Integrating Data Science and Earth Science |
| 副標(biāo)題 | Challenges and Solut |
| 編輯 | Laurens M. Bouwer,Doris Dransch,Jens Greinert |
| 視頻video | http://file.papertrans.cn/469/468712/468712.mp4 |
| 概述 | Contains various examples and applications of visual data exploration and computational approaches.Includes a framework and its application for the evaluation of the success of research projects.Provi |
| 叢書(shū)名稱 | SpringerBriefs in Earth System Sciences |
| 圖書(shū)封面 |  |
| 描述 | This open access book presents the results of three years collaboration between earth scientists and data scientist, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers at senior and graduate level, interested in applying visual data exploration, computational approaches and scientifc workflows.. |
| 出版日期 | Book‘‘‘‘‘‘‘‘ 2022 |
| 關(guān)鍵詞 | Machine learning; SMART monitoring; Computational data exploration; Digital Earth; Visual data explorati |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-99546-1 |
| isbn_softcover | 978-3-030-99545-4 |
| isbn_ebook | 978-3-030-99546-1Series ISSN 2191-589X Series E-ISSN 2191-5903 |
| issn_series | 2191-589X |
| copyright | The Editor(s) (if applicable) and The Author(s) 2022 |