1. Computing Data-driven Multilinear Metro Maps.
- Author
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Nöllenburg, Martin and Terziadis, Soeren
- Subjects
- *
LINEAR programming , *INTEGER programming , *ALGORITHMS , *ROTATIONAL motion - Abstract
Traditionally, most schematic metro maps in practice as well as metro map layout algorithms adhere to an octolinear layout style with all paths composed of horizontal, vertical, and $45^\circ$ 45 ∘ -diagonal edges. Despite growing interest in more general multilinear metro maps, generic algorithms to draw metro maps based on a system of $k \ge 2$ k ≥ 2 not necessarily equidistant slopes have not been investigated thoroughly. In this paper, we present and implement an adaptation of the octolinear mixed-integer linear programming approach of Nöllenburg and Wolff (2011) that can draw metro maps schematized to any set ${\cal C}$ C of arbitrary orientations. We further present a data-driven approach to determine a suitable set ${\cal C}$ C by either detecting the best rotation of an equidistant orientation system or by clustering the input edge orientations using a k-medians algorithm. We demonstrate the new possibilities of our method using several real-world examples. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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