The article discusses Spatial Digital Twins (SDTs), focusing on Singapore's Virtual Singapore as a leading example. It details how this 3D platform integrates comprehensive city data from multiple public agencies into a semantic model. This model includes not just geometry but also dynamic elements like demographics and climate data, showcasing the importance of multifaceted data integration. The paper emphasizes the potential applications of SDTs in urban management, planning, and analysis while highlighting the challenges and future work needed to optimize these digital frameworks.
The Singapore digital twin represents a pioneering effort that combines detailed 3D models with real-time data, creating a comprehensive semantic representation of the urban environment.
By integrating information from various public agencies, Singapore's digital twin enriches the 3D model with both static and dynamic data, enhancing urban planning and management efforts.
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