文章基本信息

标题：Exploratory Analysis Support of Spatiotemporal Trend Information Focusing on Comparative Analysis
本地全文：下载
作者：Yasufumi Takama ; Shinji Karino
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2011
卷号：26
期号：4
页码：494-503
DOI：10.1527/tjsai.26.494
出版社：The Japanese Society for Artificial Intelligence
摘要：This paper proposes a method for supporting an exploratory analysis of spatiotemporal trend information by focusing on comparative analysis. Recent growth of the Web has brought us various kinds of information, among which trend information is one of crucial information for our decision-making. In order to develop an exploratory analysis support system for spatiotemporal trend information, visualization cube has been proposed. It is an abstract data structure with 4 axes, on which 5 operations for generating views are defined. The prototype system has been developed based on the concept of visualization cube, of which usability has been evaluated through the experiments conducted at an elementary school. However, it was also pointed out that the data space that can be explored with a single interaction by the existing system is not so large. In order to solve this problem, the proposed method employs dual views by considering two visualization cubes. By operating two visualization cubes at the same time, six kinds of comparative analyses in a broad sense can be supported. The exploratory analysis support system is developed based on the proposed concept, of which the effectiveness is evaluated through experiments with test participants. Although no synchronization mechanism between views is implemented in the prototype system, effective synchronization functions are discussed based on the experimental results.
关键词：information visualization ; spatiotemporal trend information ; exploratory data analysis ; comparative analysis