The spatio-temporal data in the exhibition environment is complex, with high discreteness, discontinuity and incomplete records. In most cases, the spatio-temporal data itself not only contains time, longitude and latitude, but also contains additional attributes such as speed, acceleration and direction, which makes the analysis of such data challenging. Therefore, an interactive visual analytic system, Visual Analysis system for Spatio-Temporal Exhibition Data (VASTED) was proposed, which combines multiple interactions to analyze participants’ types and movement patterns, as well as possible abnormal events, for the whole and details. The system utilizes and further improves the 3D map and Gantt chart to effectively represent the various attributes of data. The dataset of ChinaVis2019 challenge1 was used for case study to prove the feasibility of the system.

Due to critical security vulnerabilities of the protocols for Short Message Service (SMS), SMS spam come to the fore through numerous malicious pseudo base-stations, to spread fraud message or illegal advertisements. Nowadays, SMS spam negatively affects daily lives of the masses, even influences the stability of society. However, with respect to the properties as mobility and concealment of pseudo base-stations, exploring the trajectory and activity of pseudo base-stations is a difficult task. To solve this problem, a visual analytics scheme was proposed to trail pseudo base-stations via multi-users' SMS spam collected by mobile service provider. Multi-visualized views and a visual analytics system were designed based upon the proposed scheme. Moreover, a case study was presented to validate the proposed method and system, with the aid of dataset provided by the ChinaVis'2017 Challenge I. The result verifies the feasibility and effectiveness of the proposed method.