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Analysis of Flight Variability: a Systematic Approach

Andrienko, N. ORCID: 0000-0003-3313-1560, Andrienko, G. ORCID: 0000-0002-8574-6295, Garcia, J. M. C. & Scarlatti, D. (2019). Analysis of Flight Variability: a Systematic Approach. IEEE Transactions on Visualization and Computer Graphics, 25(1), pp. 54-64. doi: 10.1109/TVCG.2018.2864811


In movement data analysis, there exists a problem of comparing multiple trajectories of moving objects to common or distinct reference trajectories. We introduce a general conceptual framework for comparative analysis of trajectories and an analytical procedure, which consists of (1) finding corresponding points in pairs of trajectories, (2) computation of pairwise difference measures, and (3) interactive visual analysis of the distributions of the differences with respect to space, time, set of moving objects, trajectory structures, and spatio-temporal context. We propose a combination of visualisation, interaction, and data transformation techniques supporting the analysis and demonstrate the use of our approach for solving a challenging problem from the aviation domain.

Publication Type: Article
Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Publisher Keywords: Trajectory, Task analysis, Data visualization, Three-dimensional displays, Heuristic algorithms, Data analysis, Visual analytics
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science
School of Science & Technology > Computer Science > giCentre
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