Streamlines are a fundamental representation in flow visualization, especially for analyzing complex transport phenomena in transitional flow regimes. Extending streamline visualization into extended reality (XR) environments offers new opportunities for immersive and embodied flow exploration with enhanced spatial presence, allowing users to progressively interact with flow fields and gain a more intuitive understanding of fluid behavior. However, most existing studies for streamline visualization focus on seed placement and occlusion rendering, with limited attention to interactive visualization and real-time rendering for dense animated streamlines - capabilities that are especially critical in XR. To address these challenges of visualizing complex flow fields and rendering large numbers of animated streamlines with scientifically meaningful motion interpretation, we propose a real-time animated streamline visualization method together with an interactive platform within XR environment, capable of handling large-scale datasets for flow visualization. The method, based on a Motion Map framework and spacetime parallelism, uses temporal domain analysis to capture the continuity of streamline evolution. By using GPU parallel computing, our method enables real-time visualization of hundreds of millions of dynamic streamlets, accurately representing flow velocity and direction. It also improves understanding of transitional flow regimes through dynamic motion patterns and advanced rendering features, which can be tuned via multi-parameter controls to support uncertainty visualization. These contributions establish a powerful and intuitive framework for learning complex flow behaviors and advancing insights into fluid dynamics.
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