A visualization system for space-time and multivariate patterns (VIS-STAMP)
A visualization system for space-time and multivariate patterns (VIS-STAMP)
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DOI：
10.1109/tvcg.2006.84
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发表时间：
2006-11-01
影响因子：
5.2
通讯作者：
Liao, Ke
中科院分区：
文献类型：
--
作者：
Guo, Diansheng;Chen, Jin;Liao, Ke
本文报道的研究整合了计算、视觉和制图方法，开发了一种用于探索和理解时空和多元模式的地理视觉分析方法。所开发的方法和工具可以帮助分析人员通过聚类、排序和可视化来研究跨多元、空间和时间维度的复杂模式。具体而言，该方法涉及自组织地图、平行坐标图、几种可重新排序矩阵的形式（包括几种排序方法）、地理小多重显示和二维地图颜色设计方法。这些方法之间的耦合利用了它们各自独立的优势，并促进了以其他方式难以发现的模式的可视化探索。我们开发的可视化系统支持对复杂模式的概述，并且通过各种交互，使用户能够专注于特定模式并检查详细视图。我们用IEEE InfoVis 2005竞赛数据集的一个应用程序演示了该系统，该数据集包含美国技术公司的时变、地理参考和多变量数据。
The research reported here integrates computational, visual, and cartographic methods to develop a geovisual analytic approach for exploring and understanding spatio-temporal and multivariate patterns. The developed methodology and tools can help analysts investigate complex patterns across multivariate, spatial, and temporal dimensions via clustering, sorting, and visualization. Specifically, the approach involves a self-organizing map, a parallel coordinate plot, several forms of reorderable matrices (including several ordering methods), a geographic small multiple display, and a 2-dimensional cartographic color design method. The coupling among these methods leverages their independent strengths and facilitates a visual exploration of patterns that are difficult to discover otherwise. The visualization system we developed supports overview of complex patterns and, through a variety of interactions, enables users to focus on specific patterns and examine detailed views. We demonstrate the system with an application to the IEEE InfoVis 2005 Contest data set, which contains time-varying, geographically referenced, and multivariate data for technology companies in the US.