Research and Application Exploration for Spatiotemporal Data Integrated Theory. Issue 1 (July 2021)

• Record Type: Journal Article
• Authors: Chao, Yuan; Tianye, Zeng; Yuxiang, Cheng; Lin, Li
• Is Part Of: Journal of physics. Volume 1961:Issue 1(2021)
• Publication Date: 2021-07
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1961/1/012026
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Spatiotemporal data is essential for big data, closely related to government, enterprise and people. The Chinese digital economy development strategy requires more efficient usage of spatiotemporal data. However, current researchers paid the more attention to the concept and technology about spatiotemporal database, model, sharing, visual platform, lacking research to the spatiotemporal data integrated theory. This article attempted to propose the spatiotemporal data integrated theory, and structure three-level spatiotemporal data system. It solved systematically spatiotemporal data problem about classification, calculation and application, developed series smart software system, formed a spatiotemporal big data factory in Chongqing China.