International Journal of Geo-Information Article Multilevel Visualization of Travelogue Trajectory Data Yongsai Ma 1,2, Yang Wang 2, Guangluan Xu 2,* and Xianqing Tai 2 1 Department of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100190, China;
[email protected] 2 The Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
[email protected] (Y.W.);
[email protected] (X.T.) * Correspondence:
[email protected]; Tel.: +86-136-8107-8907 Received: 24 October 2017; Accepted: 22 December 2017; Published: 3 January 2018 Abstract: User-generated travelogues can generate much geographic data, containing abundant semantic and geographic information that reflects people’s movement patterns. The tourist movement patterns in travelogues can help others when planning trips, or understanding how people travel within certain regions. The trajectory data in travelogues might include tourist attractions, restaurants and other locations. In addition, all travelogues generate a trajectory, which has a large volume. The variety and volume of trajectory data make it very hard to directly find patterns contained within them. Moreover, existing work about movement patterns has only explored the simple semantic information, without considering using visualization to find hidden information. We propose a multilevel visual analytical method to help find movement patterns in travelogues. The data characteristic of a single travelogue are different from multiple travelogues. When exploring a single travelogue, the individual movement patterns comprise our main concern, like semantic information. While looking at many travelogues, we focus more on the patterns of population movement.