Spatial Digital Twins (SDTs) serve as advanced tools for exploring and visualizing spatial data. They incorporate elements like data acquisition, processing, and analytics, enabling comprehensive insights into environments. The functionalities of SDTs are categorized into exploration & visualization, querying, mining, simulation, and predictive analysis. Visualization has garnered significant emphasis, with various platforms supporting 3D representations and layered data integration. As research extends into modern technologies like AI, blockchain, and cloud computing, various challenges emerge, including complex data acquisition and the need for improved security measures.
One of the key components of Spatial Digital Twins is visualization; it involves layering various types of data onto maps to provide comprehensive insights about spatial relationships.
Exploration and visualization are pivotal in SDTs, allowing users to interact with data through innovative platforms that enhance understanding of spatial dynamics.
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