Next Generation Spatial Data Management for Virtual Spatial Systems

该项目旨在设计新的空间数据检索方法，以高效、准确地查询包含位置信息的大数据集。由于移动设备的普及和无处不在的连接，空间数据正以前所未有的速度生成。然而，过时和低效的方法阻碍了对这些数据的利用。该项目将研究通过利用潜在的真实世界数据模式进行自我优化以实现高查询效率和准确性的数据检索方法。它将为具有大规模查询需求的虚拟空间系统实现新的应用，如空间数字双胞胎和虚拟世界，使基于位置的服务提供商、城市规划者和应急管理机构受益。

This project aims to design novel spatial data retrieval methods for efficient and accurate querying of large datasets with location information. Spatial data is being generated at an unprecedented rate due to the prevalence of mobile devices and ubiquitous connectivity. However, harnessing this data is hampered by outdated and inefficient methods. The project will investigate data retrieval methods that self-optimise for high query efficiency and accuracy, by utilising underlying real-world data patterns. It will enable novel applications for virtual spatial systems with large-scale querying needs, such as spatial digital twins and metaverses, benefiting location-based service providers, urban planners, and emergency management agencies.