IEEE VIS 2024 Content: Two-point Equidistant Projection and Degree-of-interest Filtering for Smooth Exploration of Geo-referenced Networks

Two-point Equidistant Projection and Degree-of-interest Filtering for Smooth Exploration of Geo-referenced Networks

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Max Franke - University of Stuttgart, Stuttgart, Germany

 Samuel Beck - University of Stuttgart, Stuttgart, Germany

 Steffen Koch - University of Stuttgart, Stuttgart, Germany

 Room: Bayshore VI

2024-10-17T16:45:00ZGMT-0600Change your timezone on the schedule page
2024-10-17T16:45:00Z

Exemplar figure, described by caption below — Our approach supports the exploration of relations in geo-referenced networks with animated zoom-and-pan transitions. The figure shows such a transition realized as a two-point equidistant projection. The geodetic line (blue arrow) between the start and end node is projected without distortion. Example views during the animated transition are shown to the left and right of the map. Their respective coverage is indicated by red circles.

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Keywords

Geographical projection, geo-referenced graph, degree-of-interest function, ego-perspective exploration.

Abstract

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.