A Study on Novel Grid-based Spatiotemporal Information Management Techniques
Abstract. To address the problems and challenges of spatiotemporal information management in the era of big data, this study utilizes the Earth-based spatiotemporal grid framework technology. It establishes a spatial management model based on spatiotemporal grids and proposes a timeline-based "scene-grid-entity" dynamic coordinated management approach for spatial data. This method realizes grid-based construction of spatial scenes, grid-based definition of spatial entities, and grid-based management mechanisms for spatial activities. A novel spatiotemporal information organizational management model and storage structure are designed, enabling the fusion of multi-source heterogeneous spatial data, unified organizational management of spatiotemporal big data, and multi-scale representation. The proposed framework demonstrates significant application value in fields such as national territorial spatial planning and smart city management.
Authors
- Yuanyuan Liu (ORCID: https://orcid.org/0000-0001-7888-9979)
- Long Gao
- Hui Yin
Institutions
- Institute of Computing Technology (CN)
Publication Details
- Journal
- The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
- Published
- 2025-11-26
- DOI
- https://doi.org/10.5194/isprs-archives-xlviii-4-w14-2025-33-2025
- Primary Topic
- Geographic Information Systems Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China