The State of the Art in Map-Like Visualization

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dc.contributor.authorHogräfer, Mariusen_US
dc.contributor.authorHeitzler, Magnusen_US
dc.contributor.authorSchulz, Hans-Jörgen_US
dc.contributor.editorSmit, Noeska and Oeltze-Jafra, Steffen and Wang, Beien_US
dc.date.accessioned2020-05-24T13:53:50Z
dc.date.available2020-05-24T13:53:50Z
dc.date.issued2020
dc.description.abstractCartographic 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 this classification from a task-centered view and highlight open research questions.en_US
dc.description.documenttypestar
dc.description.number3
dc.description.sectionheadersMaps
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.14031
dc.identifier.issn1467-8659
dc.identifier.pages647-674
dc.identifier.urihttps://doi.org/10.1111/cgf.14031
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14031
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.titleThe State of the Art in Map-Like Visualizationen_US
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