Shape-Guided Mixed Metro Map Layout
Tobias Batik, Soeren Terziadis, Yu-Shuen Wang, Martin, N\"ollenburg, Hsiang-Yun Wu

TL;DR
This paper introduces a systematic approach to generate shape-guided mixed metro maps, combining symbolic shape embedding with classical layout conventions, to improve visual guidance and reduce manual effort.
Contribution
It formulates the mixed metro map design problem with optimization criteria and presents a three-step algorithm for automated map generation with user-defined shapes.
Findings
The approach effectively embeds recognizable shapes into metro maps.
User study shows shapes are identifiable without compromising map clarity.
The method reduces manual effort in creating shape-guided transit maps.
Abstract
Metro or transit maps, are schematic representations of transit networks to facilitate effective route-finding. These maps are often advertised on a web page or pamphlet highlighting routes from source to destination stations. To visually support such route-finding, designers often distort the layout by embedding symbolic shapes (e.g., circular routes) in order to guide readers' attention (e.g., Moscow map and Japan railway map). However, manually producing such maps is labor-intensive and the effect of shapes remains unclear. In this paper, we propose an approach to generalize such mixed metro maps that take user-defined shapes as an input. In this mixed design, lines that are used to approximate the shapes are arranged symbolically, while the remaining lines follow classical layout convention. A three-step algorithm, including (1) detecting and selecting routes for shape…
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Taxonomy
TopicsData Visualization and Analytics · Spatial Cognition and Navigation · Geographic Information Systems Studies
