Abstract
Abstract. Organization and management of spatiotemporal data is a key support technology for intelligence in all fields of the smart city. The construction of a smart city cannot be realized without spatiotemporal data. Oriented to support intelligent applications，this paper proposes an organizational model for spatiotemporal data, and details the construction of a spatiotemporal big data calculation, analysis, and service framework for highly efficient management and intelligent application of spatiotemporal data for the entire data life cycle.
Highlights
With the development of E-government infomationization in China, generally "two networks, one website, four databases, and twelve finance systems” have been gradually established and improved
The State Council issued a "big data development promotion action plan" in August 2015 and "government information resources sharing management interim measures" in September 2016, in order to speed up the promotion of government information systems and public data sharing, enabling government information resources sharing to come inti full play for deepening reform, functional changes, and management innovations
By analyzing the features of spatiotemporal data, this paper defines the organization and analytical models of spatiotemporal data, constructing a spatiotemporal big data frame based on advanced techniques, such as smart network, cloud computing, and the Internet of Things(IoT), aiming at "full perception, interoperability, integration and sharing, business collaboration, on-demand services"
Summary
With the development of E-government infomationization in China, generally "two networks, one website, four databases, and twelve finance systems” have been gradually established and improved. By analyzing the features of spatiotemporal data, this paper defines the organization and analytical models of spatiotemporal data, constructing a spatiotemporal big data frame based on advanced techniques, such as smart network, cloud computing, and the Internet of Things(IoT), aiming at "full perception, interoperability, integration and sharing, business collaboration, on-demand services". This orientation lays a conceptual foundation for data integration, management, service and application of city operation systems, that provide basic support for building a widely interconnected,deep application, and information service based smart city system
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