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A Special Issue on Data Science for Geosciences.

Authors :
Demyanov, Vasily
Gloaguen, Erwan
Kanevski, Mikhail
Source :
Mathematical Geosciences; Jan2020, Vol. 52 Issue 1, p1-3, 3p
Publication Year :
2020

Abstract

The role of data science has increased in the geosciences given the mounting recognition of the limitations associated with traditional physical model driven methods in describing complex phenomena and in explaining large amounts of conditioning Earth monitoring data, which have become readily available in the digital era. I Discover i Discovering patterns in geoscience data is a natural application for machine learning, which empowers experts with a relatively unbiased way to interpret the data and help account for the associated uncertainty more accurately. Overall, the collection of papers in this Special Issue demonstrates how data science methods can help tackle computational and uncertainty quantification problems in geosciences with great success. [Extracted from the article]

Details

Language :
English
ISSN :
18748961
Volume :
52
Issue :
1
Database :
Complementary Index
Journal :
Mathematical Geosciences
Publication Type :
Academic Journal
Accession number :
141003118
Full Text :
https://doi.org/10.1007/s11004-019-09846-0