Title :
Embedding, clustering and coloring for dynamic maps
Author :
Hu, Yifan ; Kobourov, Stephen G. ; Veeramoni, Sankar
Author_Institution :
AT&T Labs. - Res., Florham Park, NJ, USA
fDate :
Feb. 28 2012-March 2 2012
Abstract :
We describe a practical approach for visualizing multiple relationships defined on the same dataset using a geographic map metaphor, where clusters of nodes form countries and neighboring countries correspond to nearby clusters. Our aim is to provide a visualization that allows us to compare two or more such maps (showing an evolving dynamic process, or obtained using different relationships). In the case where we are considering multiple relationships, e.g., different similarity metrics, we also provide an interactive tool to visually explore the effect of combining two or more such relationships. Our method ensures good readability and mental map preservation, based on dynamic node placement with node stability, dynamic clustering with cluster stability, and dynamic coloring with color stability.
Keywords :
data visualisation; geographic information systems; cluster stability; color stability; countries; dataset; dynamic clustering; dynamic coloring; dynamic map clustering; dynamic map coloring; dynamic map embedding; dynamic node placement; geographic map metaphor; interactive tool; mental map preservation; multiple relationship visualization; node stability; Clustering algorithms; Color; DNA; Data visualization; Heuristic algorithms; Layout; Measurement;
Conference_Titel :
Visualization Symposium (PacificVis), 2012 IEEE Pacific
Conference_Location :
Songdo
Print_ISBN :
978-1-4673-0863-2
Electronic_ISBN :
2165-8765
DOI :
10.1109/PacificVis.2012.6183571