@inproceedings{d153afd0593045c59151094126b50432,
title = "I-tStar: Interactive Trajectory Star Coordinates",
abstract = "There are many sources of geographic big data, and most of them come from heterogeneous environments. As the techniques evolved, these data sources contain attribute information of different spatial scales, time scales and complexity levels. In this case, visualizing high-dimensional spatiotemporal trajectory data is extremely challenging. Therefore, we propose a new solution, trajectory behavior feature, for moving objects that are integrated into a view to display and extract spatiotemporal patterns.",
keywords = "Trajectory data, attribute information, star coordinates, visualization",
author = "Jing He and Lingxiao Li and Xin Wang",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 3rd International Conference on Artificial Intelligence and Advanced Manufacture, AIAM 2021 ; Conference date: 23-10-2021 Through 25-10-2021",
year = "2021",
month = oct,
day = "23",
doi = "10.1145/3495018.3501046",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
pages = "2044--2047",
booktitle = "Proceedings of 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture, AIAM 2021",
address = "美国",
}