The elements of graphing data
The visual display of quantitative information
The visual display of quantitative information
Visualizing Data
Visualization of Linear Time-Oriented Data: A Survey
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 1 - Volume 1
Dynamic query tools for time series data sets: timebox widgets for interactive exploration
Information Visualization
Semiology of graphics
Two-Tone Pseudo Coloring: Compact Visualization for One-Dimensional Data
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
A Note on Space-Filling Visualizations and Space-Filling Curves
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
Multi-Scale Banking to 45 Degrees
IEEE Transactions on Visualization and Computer Graphics
Overview Use in Multiple Visual Information Resolution Interfaces
IEEE Transactions on Visualization and Computer Graphics
A review of overview+detail, zooming, and focus+context interfaces
ACM Computing Surveys (CSUR)
Stacked Graphs – Geometry & Aesthetics
IEEE Transactions on Visualization and Computer Graphics
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Graphical Perception of Multiple Time Series
IEEE Transactions on Visualization and Computer Graphics
Visualization of Time-Oriented Data
Visualization of Time-Oriented Data
A Study on Dual-Scale Data Charts
IEEE Transactions on Visualization and Computer Graphics
CollaStar: Interaction collaborative avec des données multidimensionnelles et temporelles
Proceedings of the 25ième conférence francophone on l'Interaction Homme-Machine
| Hi-index | 0.01 |
Many approaches have been proposed for the visualization of multiple time series. Two prominent approaches are reduced line charts (RLC), which display small multiples for time series, and the more recent horizon graphs (HG). We propose to unify RLC and HG using a new technique - interactive horizon graphs (IHG) - which uses pan and zoom interaction to increase the number of time series that can be analysed in parallel. In a user study we compared RLC, HG, and IHG across several tasks and numbers of time series, focusing on datasets with both large scale and small scale variations. Our results show that IHG outperform the other two techniques in complex comparison and matching tasks where the number of charts is large. In the hardest task PHG have a significantly higher number of good answers (correctness) than HG (+14%) and RLC (+51%) and a lower error magnitude than HG (-64%) and RLC (-86%).