It is crucial to visually extrapolate the characteristics of their evolution to understand critical spatio-temporal events such as earthquakes, fires, or the spreading of a disease. Animations embedded in the spatial context can be helpful for understanding details, but have proven to be less effective for overview and comparison tasks. We present an interactive approach for the exploration of spatio-temporal data, based on a set of neighborhood-preserving 1D projections which help identify patterns and support the comparison of numerous time steps and multivariate data. An important objective of the proposed approach is the visual description of local neighborhoods in the 1D projection to reveal patterns of similarity and propagation. As this locality cannot generally be guaranteed, we provide a selection of different projection techniques, as well as a hierarchical approach, to support the analysis of different data characteristics. In addition, we offer an interactive exploration technique to reorganize and improve the mapping locally to users' foci of interest. We demonstrate the usefulness of our approach with different real-world application scenarios and discuss the feedback we received from domain and visualization experts.

中文翻译：

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具有一维投影的时空现象的视觉分析

从视觉上推断它们的进化特征以了解地震、火灾或疾病传播等关键时空事件至关重要。嵌入在空间上下文中的动画有助于理解细节，但已证明对于概览和比较任务不太有效。我们提出了一种用于探索时空数据的交互式方法，它基于一组保留邻域的一维投影，有助于识别模式并支持多个时间步长和多变量数据的比较。所提出方法的一个重要目标是在一维投影中对局部邻域进行视觉描述，以揭示相似性和传播模式。由于一般不能保证这个地方，我们提供了不同的投影技术选择，以及分层方法，以支持对不同数据特征的分析。此外，我们提供了一种交互式探索技术来重新组织和改进本地到用户兴趣焦点的映射。我们在不同的实际应用场景中展示了我们的方法的实用性，并讨论了我们从领域和可视化专家那里收到的反馈。