Data Tracking Analysis of the Geomagnetic Fixed-Station Network in China
Author(s) -
Suqin Zhang,
Changhua Fu,
Xiuxia Zhang,
Yi Zhang
Publication year - 2018
Publication title -
data science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.358
H-Index - 21
ISSN - 1683-1470
DOI - 10.5334/dsj-2018-013
Subject(s) - earth's magnetic field , computer science , tracking (education) , scope (computer science) , workflow , network analysis , data mining , real time computing , database , electrical engineering , engineering , psychology , pedagogy , physics , quantum mechanics , magnetic field , programming language
Data tracking analysis is an important mechanism for increasing data analysis capacity and eliminating interference from observational data. In this study, the technique was applied to the geomagnetic fixed-station network to improve the efficiency and accuracy of analysis to extract useful information. This paper introduces the scope, workflow, analysis platform, abnormal variation status, and results of the geomagnetic data tracking analysis. We present some typical examples of abnormal variations in addition to our proposals for future work.
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