Integrating Data Science and Earth Science : Challenges and Solutions / / edited by Laurens M. Bouwer, Doris Dransch, Roland Ruhnke, Diana Rechid, Stephan Frickenhaus, Jens Greinert

• Autore: Bouwer Laurens M
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (158 pages)
• Disciplina: 550
• Soggetto topico: Earth sciences; Artificial intelligence - Data processing; Statistics; Mathematics; Earth Sciences; Data Science
• Classificazione: COM004000COM031000MAT000000MAT029000SCI019000
• Altri autori: DranschDoris RuhnkeRoland RechidDiana FrickenhausStephan GreinertJens
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Integrating Data Science and Earth Science
• ISBN: 3-030-99546-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910584486503321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Earth System Sciences, . 2191-5903