Integrating Data Science and Earth Science : Challenges and Solutions / [electronic resource] : / edited by Laurens M. Bouwer, Doris Dransch, Roland Ruhnke, Diana Rechid, Stephan Frickenhaus, Jens Greinert.. — 1st ed. 2022.. — XIV, 148 p. 47 illus. in color. : online resource. — (SpringerBriefs in Earth System Sciences,) 2191-5903. - SpringerBriefs in Earth System Sciences, .

Data Science and Earth System Science -- The Digital Earth project: focus and agenda -- Data analysis and exploration with visual approaches -- Data analysis and exploration with computational approaches -- Data analysis and exploration with scientific workflows -- The Digital Earth SMART monitoring concept and tools -- Interdisciplinary collaboration -- Evaluating the success of the Digital Earth project -- Lessons learned in the Digital Earth project.

Open Access

Анотація:
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.

9783030995461

10.1007/978-3-030-99546-1 doi


Earth sciences.
Artificial intelligence—Data processing.
Statistics .
Mathematics.
Earth Sciences.
Data Science.
Statistics.
Mathematics.

G1-922

550