Supporting consecutive data exploration by visualizing spatio-temporal trend information

This paper reports on a study in which a proposed interface that visualizes spatio-temporal trend information for exploratory data analysis was realized. The proposed system supports users´ analysis of time-series data in an exploratory manner. Such exploratory analysis requires repeated access to various types of information related to the users´ interests such as texts and numerical data. During analysis of time-series data, it is essential that users understand temporal changes and the cause of those changes. The proposed system helps users by facilitating understanding of the temporal changes in time-series data and the causes of those changes. The implemented interface currently utilizes newspaper articles, maps, and statistical data as data modalities.