The State of the Art in Map-like Visualization
This is the companion website for the state-of-the-art report on map-like visualization, to appear in Vol. 39 of Computer Graphics Forum.
Authors
Abstract
Cartographic maps have been shown to provide cognitive benefits when interpreting data in relation to a geographic location. In visualization, the term map-like describes techniques that incorporate characteristics of cartographic maps in their representation of abstract data. However, the field of map-like visualization is vast and currently lacks a clear classification of the existing techniques. Moreover, choosing the right technique to support a particular visualization task is further complicated, as techniques are scattered across different domains, with each considering different characteristics as map-like.
In this paper, we give an overview of the literature on map-like visualization and provide a hierarchical classification of existing techniques along two general perspectives: imitation and schematization of cartographic maps. Each perspective is further divided into four principal categories that group common map-like techniques along the visual primitives they affect. We further discuss thisclassification from a task-centered view and highlight open research questions.
Citation in BibTeX
To cite this article, we encourage you to use the following bibtex entry in your citation manager:
@article {maplike2020,
title = {The State of the Art in Map-Like Visualization},
author = {Hogr\"afer, Marius and Heitzler, Magnus and Schulz, Hans-J\"org},
year = {2020},
number = {3},
journal = {Computer Graphics Forum},
volume = {39},
issn = {1467-8659},
pages = {647--674},
doi = {10.1111/cgf.14031}
}