A Correlation Analysis Model for Multidisciplinary Data in Disaster Research. (22nd May 2015)

• Record Type: Journal Article
• Authors: Zhang, Hongyue; Qing, Xiuling; Huang, Mingrui; Li, Guoqing
• Is Part Of: Data science journal. Volume 14(2015)
• Publication Date: 2015-05-22
• Subjects: Multidisciplinary data -- Literature analysis -- Knowledge model -- Earthquake events -- Spatio-temporal elements; Science -- Data processing -- Periodicals; Database management -- Periodicals; 502.85
• DOI: 10.5334/dsj-2015-019
• Languages: English
• ISSNs: 1683-1470

Abstract

Data play an important role in disaster mitigation applications, and the integrated employment of multidisciplinary data promotes the development of disaster science. Therefore it is very useful to identify the multidisciplinary data usage in the research of disaster events. In order to discover the correlation between multidisciplinary data and disaster research, three earthquake events, the Tangshan earthquake, the Wenchuan earthquake, and the Haidi earthquake were selected as typical study cases for this paper. A knowledge model for literature data mining was applied to analyze the correlation between earthquake events and multidisciplinary data types. The results indicate that high-cited papers show different data usage trends when compared with whole-set papers and also that data usage for the three earthquake events varies. According to analysis results, the factors that influence multidisciplinary data usage include the characteristics of spatial and temporal elements as well as differing interests of the data users.