Abstract Sensor networks composed of static and mobile sensors are applicable for situation monitoring. In this paper, we propose SensorAware, an interactive system for visualizing and exploring spatial–temporal data from static and mobile sensors. Our system follows the procedure starting with an overview, then zoom and filter, and finally details-on-demand. We use pixel-based time-series visualization to show overall readings from individual sensors, and the readings of mobile sensors are aggregated spatially to display the distribution of sensor readings. SensorAware provides cross-filtering and details-on-demand interactions, which allow users to investigate data at different levels of details from both spatial and temporal aspects. Graphic Abstract

中文翻译：

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SensorAware：静态和移动传感器信息的视觉分析

摘要 由静态和移动传感器组成的传感器网络适用于态势监测。在本文中，我们提出了 SensorAware，这是一个交互式系统，用于可视化和探索来自静态和移动传感器的时空数据。我们的系统遵循从概览开始的程序，然后是缩放和过滤，最后是按需提供详细信息。我们使用基于像素的时间序列可视化来显示来自单个传感器的整体读数，并且移动传感器的读数在空间上聚合以显示传感器读数的分布。SensorAware 提供交叉过滤和按需细节交互，允许用户从空间和时间方面调查不同细节级别的数据。图形摘要