Integrating Data Science and Earth Science
- Bouwer, Laurens M.
- Dransch, Doris
- Ruhnke, Roland
- Rechid, Diana
- Frickenhaus, Stephan
- Greinert, Jens
- zu Castell, Wolfgang
- Brix, Holger
- Dietrich, Peter
- Petzold, Andreas
- Henkel, Daniela
- Avalos, Evarardo Gonzales
- Abraham, Nicola
- Buck, Valentin
- Eggert, Daniel
- Wichert, Victoria
- Kwasnitschka, Tom
- Rabe, Daniela
- Stäbler, Flemming
- Marien, Lennart Christopher
- Callies, Ulrich
- Matthias, Volker
- Michaelis, Patrick
- Scharun, Christian
- Valizadeh, Mahyar
- Vlasenko, Andrej
- Kalbacher, Thomas
- Lüdtke, Stefan
- Merz, Bruno
- Nam, Christine
- Nixdorf, Erik
- Schröter, Kai
- Tiedje, Bente
- Wendi, Dadiyorto
- Ködel, Uta
- Fischer, Philipp
- Bundke, Ulrich
- Burwicz-Galerne, Ewa
- Haas, Antonie
- Herrarte, Isabel
- Haroon, Amir
- Jegen, Marion
- Kennenrt, Marcel
- Korf, Tobias
- Kunkel, Ralf
- Kwok, Ching Yin
- Mahnke, Christoph
- Paasche, Hendrik
- Rohs, Susanne
- Wagner, Robert
- Walter, Andreas
- Fuchs, Nike
- Krause, Gesche
- Fritzsch, Bernadette
- Köckeritz, Werner
Publication date
August 2022
DOI Publisher
Springer Science and Business Media LLC Language
EnglishAbstract
This open access book presents the results of three years collaboration between earth scientists and data scientists, 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
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