Name
Abstract | ||
|---|---|---|
Two dimensional static maps and three dimensional space-time cubes are among the most studied techniques to visualize human movement data. Previous research suggests that both techniques are useful in different types of tasks. However, the analysis of trajectory data may not be focused in just one type of task, motivating further studies to quantify the advantages of combining both types of techniques. This paper describes our work-in-progress addressing this issue, proposing the combination of 2D maps and 3D space-time cubes for human trajectory visualization, and overviewing possible metrics for its evaluation. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2783446.2783607 | BCS HCI |
Keywords | Field | DocType |
Spatio-temporal data,trajectories,information visualization,visual analytics,space-time cube,2d map,usability | Space time,Data mining,Information visualization,Computer science,Visualization,Usability,Space time cube,Visual analytics,Trajectory,Cube | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tiago Gonçalves | 1 | 27 | 5.97 |
| Ana Paula Afonso | 2 | 160 | 22.64 |
| Bruno Martins | 3 | 441 | 34.58 |