The Data Visualization of Large Scale AIS Trajectories Data on Hadoop

With the establishment of Automatic Identification System(AIS) networks, maritime vessel trajectories are becoming increasingly available. The visualization of AIS trajectories data is an effective way on large scale spatiotemporal data analysis and is critical for real time applications ranging from military surveillance to transportation management. In this paper we uses the real AIS data as experimental data and uses Hadoop as data processing and storage, presents a dynamic visualization of global marine AIS data and local sea area situation. A multi-charts visualization model is presented, where the characteristics of complex ships in port area can be analyzed.