Research Article
Integrating Retinal Variables into Graph Visualizing Multivariate Data to Increase Visual Features
@INPROCEEDINGS{10.1007/978-3-030-34365-1_7, author={Hong Nguyen and Lieu Le and Cam Huynh and Thuan Pham and Anh Tran and Dang Pham and Phuoc Tran}, title={Integrating Retinal Variables into Graph Visualizing Multivariate Data to Increase Visual Features}, proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 8th EAI International Conference, ICCASA 2019, and 5th EAI International Conference, ICTCC 2019, My Tho City, Vietnam, November 28-29, 2019, Proceedings}, proceedings_a={ICCASA \& ICTCC}, year={2019}, month={12}, keywords={Visual features Retinal variable Visual perception Visualization Multivariate data}, doi={10.1007/978-3-030-34365-1_7} }- Hong Nguyen
Lieu Le
Cam Huynh
Thuan Pham
Anh Tran
Dang Pham
Phuoc Tran
Year: 2019
Integrating Retinal Variables into Graph Visualizing Multivariate Data to Increase Visual Features
ICCASA & ICTCC
Springer
DOI: 10.1007/978-3-030-34365-1_7
Abstract
The efficiency of a graph visualizing multivariate data is not only subjectively evaluated by human visual perception but also objectively estimated by visual features of graph. For a designed graph, it is necessary to improve visual features to enable human to extract better information from data. Integrating retinal variables into graph is an approach to increasing visual features of graph. In this study, the constituents of graph are grouped into classes of marks by qualitative and quantitative characteristics. The retinal variables are studied and structured to integrate into the classes of marks. A process of five steps is proposed to increase visual features by integrating retinal variables into graph. The process is illustrated with two case studies, increasing visual features of bus space-time map with qualitative mark classes and increasing visual features of the graph representing the data of hand-foot-mouth epidemic in Binhduong with qualitative and quantitative mark classes.