计算机应用与软件2024，Vol.41Issue(8)：36-45,73,11.DOI:10.3969/j.issn.1000-386x.2024.08.006
面向多维时空航班数据的渐进式可视分析方法
PROGRESSIVE VISUAL ANALYSIS METHOD FOR MULTI-DIMENSIONAL SPATIO-TEMPORAL FLIGHT DATA
摘要
Abstract
Frequent adjustments of flights in actual operations have a negative impact on airline operations.Using visual analysis methods to analyze historical flight operation characteristics can find defects in flight plans and provide support for flight plan adjustments.For this reason,the FlightOM-Vis system for multi-dimensional spatio-temporal flight data is designed to support the progressive analysis of flight operation characteristics from top to bottom.The system used multiple views to display information,integrated clustering analysis method for multi-dimensional information of spatio-temporal flights data,retained the contextual information of the analysis results,and provided a wealth of interactive tools.The experiment used the Eastern Airlines flight data set for verification.The results show that the system can assist analysts in quickly mining the flight operation characteristics hidden in the data subset,and make guiding suggestions based on the visualization results.关键词
多维时空数据/渐进式可视分析/聚类分析/交互式探索Key words
Multidimensional spatio-temporal data/Progressive visual analysis/Cluster analysis/Interactive exploration分类
信息技术与安全科学引用本文复制引用
贺怀清,张昱旻,刘浩翰,史崇莹..面向多维时空航班数据的渐进式可视分析方法[J].计算机应用与软件,2024,41(8):36-45,73,11.基金项目
国家自然科学基金项目(U1333110). （U1333110）
