Landslides pose a significant threat to public safety, but their dynamic processes are difficult to analyze from post-event observation alone. Computational simulation is therefore essential, but it generates vast, abstract datasets that create a cognitive gap between the analyst and the real-world, physical terrain. While Immersive Analytics (IA) begins to bridge this gap by visualizing data in 3D, we explore how these systems evolve beyond abstract data and integrate data visceralization to enhance Situational Awareness (SA). We present LandSAR, an immersive analytics system that enhances SA for landslide analysis by visceralizing landslide data through integrated simulations and visualizations. LandSAR supports real-time simulations of landslide dynamics, prevention strategies, and climate impacts, enabling multi-perspective what-if analyses. The system uses 3D-printed terrain models as tangible interfaces to facilitate haptic feedback and enable gesture-based exploration, allowing for intuitive geographical perception. Expert interviews and workshops demonstrate that LandSAR effectively improves SA and engagement.

翻译：滑坡对公共安全构成重大威胁，但其动态过程难以仅通过事后观测进行分析。因此，计算模拟至关重要，但生成的庞大抽象数据集在分析者与现实物理地形之间造成了认知鸿沟。沉浸式分析（IA）虽已通过三维数据可视化初步弥合这一鸿沟，但本研究进一步探索这些系统如何超越抽象数据，并整合数据具身化以增强态势感知（SA）。我们提出LandSAR——一种沉浸式分析系统，通过集成模拟与可视化实现滑坡数据的具身化，从而增强滑坡分析中的态势感知。该系统支持滑坡动力学、预防策略及气候影响的实时模拟，可实现多视角假设分析。系统采用3D打印地形模型作为有形界面，提供触觉反馈并支持手势交互探索，从而促进直观的地形感知。专家访谈与工作坊结果表明，LandSAR能有效提升态势感知能力与用户参与度。