Title :
Boundary Labeling Methods for Dynamic Focus Regions
Author :
Heinsohn, Niklas ; Gerasch, Andreas ; Kaufmann, Michael
Author_Institution :
Dept. for Comput. Sci., Univ. of Tubingen, Tubingen, Germany
Abstract :
The display of data related to graphical objects on a map is a well studied problem in cartography and several approaches have been published. Adapting the idea of boundary labeling using a focus region, we face the problem of emphasizing additional information and labels for objects within a focus region even when the region might be moving. We propose four different approaches that support effective solutions in various ways, and discuss advantages and drawbacks. Our algorithms regard the dynamic nature of the focus region to place the labels and preserve the mental map of the analyzed drawing. We demonstrate our methods by applying them to biological networks.
Keywords :
biology computing; biological networks; boundary labeling methods; cartography; dynamic focus regions; graphical objects; mental map; Biology; Data visualization; Force; Gaussian distribution; Heuristic algorithms; Labeling; Visualization; Bioinformatics Visualization; Focus + Context Techniques; Visual Knowledge Discovery;
Conference_Titel :
Visualization Symposium (PacificVis), 2014 IEEE Pacific
Conference_Location :
Yokohama
DOI :
10.1109/PacificVis.2014.20