Two-point Equidistant Projection and Degree-of-interest Filtering for Smooth Exploration of Geo-referenced Networks
<|reference_start|>Two-point Equidistant Projection and Degree-of-interest Filtering for Smooth Exploration of Geo-referenced Networks: The visualization and interactive exploration of geo-referenced networks poses challenges if the network's nodes are not evenly distributed. Our approach proposes new ways of realizing animated transitions for exploring such networks from an ego-perspective. We aim to reduce the required screen estate while maintaining the viewers' mental map of distances and directions. A preliminary study provides first insights of the comprehensiveness of animated geographic transitions regarding directional relationships between start and end point in different projections. Two use cases showcase how ego-perspective graph exploration can be supported using less screen space than previous approaches.<|reference_end|>
@article{franke2024two-point,
    title={Two-point Equidistant Projection and Degree-of-interest Filtering for
  Smooth Exploration of Geo-referenced Networks},
    author={Max Franke, Samuel Beck, Steffen Koch},
    journal={arXiv preprint arXiv:2406.11493},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.11493},
    primaryClass={cs.GR}
}