Data Tracking Analysis of the Geomagnetic Fixed-Station Network in China. (25th June 2018)

• Record Type: Journal Article
• Authors: Zhang, Suqin; Fu, Changhua; Zhang, Xiuxia; Zhang, Yi
• Is Part Of: Data science journal. Volume 17(2018)
• Publication Date: 2018-06-25
• Subjects: data tracking analysis -- abnormal variation -- event records; Science -- Data processing -- Periodicals; Database management -- Periodicals; 502.85
• DOI: 10.5334/dsj-2018-013
• Languages: English
• ISSNs: 1683-1470

Abstract

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.