Next Generation Spatial Data Management for Virtual Spatial Systems

虚拟空间系统的下一代空间数据管理

• 批准号: DP230101534
• 负责人: A/Prof Jianzhong Qi
• 金额: $ 33.82万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230101534
• 关键词: Next; Generation; Spatial; Data; Management

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 However, harnessing this data is hampered by outdated and inefficient methods.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.

该项目旨在设计新型的空间数据检索方法，以便对大型数据集进行有效，准确的查询，并使用位置信息。由于移动设备的流行和无处不在的连接性，空间数据正在以前所未有的速率生成。但是，利用这些数据会受到过时且效率低下的方法的阻碍。该项目将通过利用基本的现实世界数据模式来研究数据检索方法，以提高高查询效率和准确性的自我优化。它将为具有大规模查询需求的虚拟空间系统提供新颖的应用，例如空间数字双胞胎和元元素，使基于位置的服务提供商，城市规划师和紧急管理机构受益。