Research on Visual Flight Track Clustering Method Based on Nested Circle

In order to achieve flight operation estimation, ADSB historical data were analyzed by clustering. The experience track representing the law of track operation is extracted. Based on the experience track and its error, the operational status of the flight is predicted. Nested circles are incorporated into visual clustering methods. The method and algorithm of visual clustering based on nested circles are discussed and studied. The digital resources in the information science are chosen for empirical analysis. Finally, the World Wind GIS system was used for secondary development. In the three-dimensional scene, the visualization of trajectory prediction, flight information, protected area information and topographic profiles is achieved. The results show that this method can provide the overall description and global view of the massive resources in the limited visualization space. In addition, according to the actual needs, this method can deeply excavate and personalize important clusters or core nodes. It can provide technical support for the deep development and utilization of massive information resources.