Geographical Stacking Point Map of Staying Points

Regardless of the size of the study, the trajectory contains many behaviors of moving objects in dynamic and complex environments. The advent of modern computing and software environments for integrating and manipulating trajectory data has become an important driver of mobile object trajectory research. However, understanding the behavior of moving objects is still an indirect task, as it involves not only the decision process, but also space, time, attribute constraints, and context. Therefore, the development of characterization and computational frameworks that facilitate analysis and exploration of the trajectory state of moving objects is still considered a research challenge. In this paper, we introduce a semantic behavior that expresses the trajectory stop points by the visualization technique of stacked points, in order to find a better ability to predict how trajectories respond to environmental changes and how these responses are related in time and space.