Integrating Data Science and Earth Science : Challenges and Solutions

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

Download Url(s)

https://library.oapen.org/bitstream/20.500.12657/57914/1/978-3-030-99546-1.pdf
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https://library.oapen.org/bitstream/20.500.12657/57914/1/978-3-030-99546-1.pdf
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https://library.oapen.org/bitstream/20.500.12657/57914/1/978-3-030-99546-1.pdf

Contributor(s)

Bouwer, Laurens M. (editor)

Dransch, Doris (editor)

Ruhnke, Roland (editor)

Rechid, Diana (editor)

Frickenhaus, Stephan (editor)

Greinert, Jens (editor)

Language

English

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Abstract

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.

URI

https://directory.doabooks.org/handle/20.500.12854/91317

Keywords

Machine learning; SMART monitoring; Computational data exploration; Digital Earth; Visual data exploration; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics; thema EDItEUR::P Mathematics and Science::PB Mathematics