Interactive visual analysis of spatiotemporal characteristics in tropical cyclone trajectory data

This paper presents an integrated visualization system that enables interactive visual analysis of trajectory data of tropical cyclones. This system couples together a novel visual exploring interface with a progressive-partition based trajectory clustering algorithm to enable users to interactively explore spatiotemporal patterns of tropical cyclone. The position, intensity change, and movement of cyclone can be observed vividly from the 2D spatial view. The occurrence frequencies, the lifetime, seasonality distribution, and other statistical features are computed on the fly during analysis and are inspected in multiple linked views. The experimental results with real cyclone data show the effectiveness of the proposed approach.