Visual Abstraction and Stylization of Maps
We explore visual map abstraction for the generation of stylized renderings of 2D map data. We employ techniques that are centered around the concept of shape simplification and graph layout and that allow iterative abstraction of 2D maps. We use data from publicly available sources and show how we can iteratively generate aesthetic renditions of these maps. These renditions do not have the goal to allow for navigation tasks but instead show the map data in a distorted manner. The techniques used to create these images apply simplification, abstraction/generalization, and displacement operations to the map elements in varying orders and add stylistic shading to produce aesthetic renditions for print or electronic displays. The degree of abstraction/generalization can be individually chosen and determines the characteristics of the distorted map: whether components retain their shape, degenerate, or are processed in a manner that the abstraction becomes the focus of the image rather than the underlying map data. The renditions can be further personalized by choosing shading and colors for this shading. Together, the presented techniques allow for playful and creative exploration of aesthetic renditions of 2D map data.
Poster presented at Computational Aesthetics 2010:
- slides of the presentation at Expressive 2014 (pdf, 6.9MB)
The article cites “Henry Beck Rules, not OK? Breaking the Rules of Diagrammatic Map Design,” an unpublished article by Maxwell J. Roberts. In the meantime, this essay has been expanded into the book “Underground Maps Unravelled: Explorations in Information Design,” so more details can be found there.
|Tobias Isenberg (2013) Visual Abstraction and Stylisation of Maps. The Cartographic Journal, 50(1):8–18, February 2013.|| doi|
|Tobias Isenberg (2010) Computational Aesthetics for Geographic Maps. In Peter M. Hall, eds., Poster Presentations of Computational Aesthetics in Graphics, Visualization, and Imaging (CAe, June 14–15, London, UK). 2010. Extended abstract and poster. Also see the article in The Cartographic Journal.|| pdf|
This work was done at and in collaboration with the Scientific Visualization and Computer Graphics Lab of the University of Groningen, the Netherlands, the AVIZ project group of INRIA, France, and the LIMSI lab at CNRS, France.