Visual Analytics Interface for Time Series Data Based on Trajectory Manipulation

Visual Analytics Interface for Time Series Data Based on Trajectory Manipulation
复制标题

基于轨迹操纵的时间序列数据可视化分析界面

DOI:
--
复制
发表时间:
2018
期刊:
International Conference on Wirtschaftsinformatik
影响因子:
--
通讯作者:
Y. Takama
Y. Takama
中科院分区:
--
文献类型:
--
作者:
Rei Takami;Y. Takama

文献摘要

参考文献

被引文献

相似文献

近年来,时间序列数据已被收集在许多领域,和可视化分析(VA)的接口,预计将是有用的利用这些数据。在开发时间序列数据接口时,由于时间序列数据的特点,需要解决几个问题。例如,数据的时间趋势通常用动画来可视化。然而,使用这种方法,时间序列数据本身的移动和与用户交互引起的移动之间会发生冲突。结果,在显示器上经常出现视觉混乱。为了解决这些问题,本文侧重于轨迹,它可以处理时间和空间的变化统一,并提出了一个VA接口,使直接操纵的轨迹。所提出的接口的实用性,通过实验证明。
In recent years, time series data have been collected in many fields, and a visual analytics (VA) interface is expected to be useful for utilizing such data. When developing such interfaces for time series data, several problems arising from the property of time series data need to be resolved. For example, the temporal trend of data is usually visualized with animation. However, with this approach, a collision would occur between the movement of the time series data itself and that caused by interaction with users. As a result, visual clutter often occurs on a display. To solve these problems, this paper focuses on trajectories, which can handle temporal and spatial changes uniformly, and proposes a VA interface that enables direct manipulation of trajectories. The usefulness of the proposed interface is demonstrated through experiments.
DOI: 10.1016/j.neucom.2017.01.105
发表时间: 2017-12-13
期刊: NEUROCOMPUTING
影响因子: 6
作者:
Sacha, Dominik;Sedlmair, Michael;Keim, Daniel A.
通讯作者: Keim, Daniel A.