Towards Data-Driven Multilinear Metro Maps
| Autor: | Nickel, Soeren, N��llenburg, Martin |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Popis: | 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{\deg}-diagonal edges. Despite growing interest in more general multilinear metro maps, generic algorithms to draw metro maps based on a system of $k \ge 2$ 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 N\"ollenburg and Wolff (2011) that can draw metro maps schematized to any set C of arbitrary orientations. We further present a data-driven approach to determine a suitable set C by either detecting the best rotation of an equidistant orientation system or by clustering the input edge orientations using a k-means algorithm. We demonstrate the new possibilities of our method using several real-world examples. Comment: Full version of a paper accepted at Diagrams 2020; replaces an earlier workshop paper from the 2nd Schematic Mapping Workshop, Vienna, 2019 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|