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Although graph drawing has been a very active research in the computer science community during the past decade, most of the graph drawing algorithms developed thus far have been designed for graphs whose nodes are represented as single points.
It is necessary to do this model description before introducing the graph drawing algorithm, since it will constrain the representation.
Moreover, information visualization is best represented in graph structures, which act as bridges between the visualization and the graph drawing field (Gröller 2002).
The graph drawing was performed using the Graph Visualization Software (www.graphviz.org).
In the Graph Drawing community, efficient drawing algorithms have been designed to draw large networks.
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In some cases, the graph drawn automatically are improved manually.
We demonstrate the H3Viewer graph drawing library, which can be run from a standalone program or in conjunction with other programs such as SGI's Site Manager application.
Figure 1A shows the results of the force-directed graph drawing algorithm implemented in yEd on the same MST.
There are interesting potential research areas in the application of graph drawing to geographic visualization such as the development and use of new aesthetic criteria for geographic visualization, the empirical analysis of graph drawing in geovisualization, and the improvement of graph rendering designed specifically for geographic data to support geovisualization.
Various techniques such as tiling and polyomino packing have been used in the past to solve this problem in the context of graph drawing.
The most relevant areas related to the H3 layout technique are graph drawing and Focus+Context techniques.
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