Spatial Digital Twins (SDTs) represent a convergence of advanced technologies that enable real-time data acquisition and analytics. The architecture of SDTs includes layers for data processing, storage, visualization through GIS, and key functionalities. Each layer interacts non-linearly, allowing flexibility and adaptability in system design. Effective management of spatial data through GIS and related middleware is essential, as it supports various applications including urban planning and resource management, underscoring the importance of integrating modern technologies like AI and blockchain within SDTs.
"Data acquisition and processing are crucial first steps in developing spatial digital twins, using technologies such as sensors and satellites to gather real-time spatial information."
"GIS and map-based middlewares facilitate the management and visualization of data, ensuring efficient communication among the various components of spatial digital twins."
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