城市群建设与管理的时空大数据体系框架构建研究

Research on the Construction of Spatiotemporal Big Data Framework System of Urban Agglomeration Construction and Management

城市群时空大数据具有跨时空与跨行政区域的动态性与实时性特征,传统的样本数据建设方式给数据存储管理、整合集成、挖掘分析与知识发现等技术环节带来挑战。本研究面向城市群建设与管理对空间信息集成应用服务的重要需求,基于应用主题领域触发的事件模型和关联要素的特征研究,以城市群空间格局与功能定位、区域规划与监测评价、城乡统筹发展、产业协同发展4个应用主题为例,设计了基于要素-事件-主题的时空大数据体系框架,并对“产业用地利用效率评估”事件模型驱动的要素设计、数据组织和算法实现进行了探索。本研究提出的时空大数据体系框架设计思路,使得时空信息互联互通和模型驱动的自适应数据调用成为可能,有助于推动要素类时空大数据在城市群建设与管理工作中的集成应用。

The spatiotemporal big data of urban agglomerations has the characteristics of dynamic and realtime,across time and space,and across administrative regions.The method of traditional small sample data construction brings challenges to the technical aspects of data storage management,integration,mining analysis and knowledge discovery.This research is oriented to the major needs of the construction and management of urban agglomerations for key services of spatial information.It focuses on the characteristics of event models and related elements triggered by application subject areas.Based on elements-events-themes,we have designed a spatiotemporal big data framework system for urban agglomeration construction and management with the exam-ples of four subjects.Based on elements-events-themes,we have designed a spatiotemporal big data framework system with the examples of four subjects and explore the process of factors design,data organization and algorithm implementation of the event of the assessment of industrial land use efficiency.The spatiotemporal big data framework system proposed in this research is helpful to promote the integration application of spatiotemporal big data on Urban Agglomeration construction and management.