Integrating Data Science and Earth Science Challenges and Solutions /
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...
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| Autres auteurs: | , , , , , |
| Format: | Électronique eBook |
| Langue: | anglais |
| Publié: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
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| Édition: | 1st ed. 2022. |
| Collection: | SpringerBriefs in Earth System Sciences,
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| Sujets: | |
| Accès en ligne: | Link to Metadata |
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| 024 | 7 | |a 10.1007/978-3-030-99546-1 |2 doi | |
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| 072 | 7 | |a SCI019000 |2 bisacsh | |
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| 245 | 1 | 0 | |a Integrating Data Science and Earth Science |h [electronic resource] : |b Challenges and Solutions / |c edited by Laurens M. Bouwer, Doris Dransch, Roland Ruhnke, Diana Rechid, Stephan Frickenhaus, Jens Greinert. |
| 250 | |a 1st ed. 2022. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2022. | |
| 300 | |a XIV, 148 p. 47 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 490 | 1 | |a SpringerBriefs in Earth System Sciences, |x 2191-5903 | |
| 505 | 0 | |a 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. | |
| 506 | 0 | |a Open Access | |
| 520 | |a 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. | ||
| 650 | 0 | |a Earth sciences. | |
| 650 | 0 | |a Artificial intelligence |x Data processing. | |
| 650 | 0 | |a Statistics . | |
| 650 | 0 | |a Mathematics. | |
| 650 | 1 | 4 | |a Earth Sciences. |
| 650 | 2 | 4 | |a Data Science. |
| 650 | 2 | 4 | |a Statistics. |
| 650 | 2 | 4 | |a Mathematics. |
| 700 | 1 | |a Bouwer, Laurens M. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Dransch, Doris. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Ruhnke, Roland. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Rechid, Diana. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Frickenhaus, Stephan. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Greinert, Jens. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783030995454 |
| 776 | 0 | 8 | |i Printed edition: |z 9783030995478 |
| 776 | 0 | 8 | |i Printed edition: |z 9783030995485 |
| 830 | 0 | |a SpringerBriefs in Earth System Sciences, |x 2191-5903 | |
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| 912 | |a ZDB-2-EES | ||
| 912 | |a ZDB-2-SXEE | ||
| 912 | |a ZDB-2-SOB | ||
| 950 | |a Earth and Environmental Science (SpringerNature-11646) | ||
| 950 | |a Earth and Environmental Science (R0) (SpringerNature-43711) | ||