2014 IEEE VIS International Workshop on 3DVis (3DVis) 2014
DOI: 10.1109/3dvis.2014.7160094
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2D and 3D presentation of spatial data: A systematic review

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Cited by 60 publications
(30 citation statements)
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“…In this section we explore the design space of 3D OD flow maps. Dübel et al [17] categorize geospatial visualizations based on whether the reference space (i. e. the map or surface) is shown in 2D or 3D and whether the abstract attribute is shown in 2D or 3D. In the case of flow maps, this categorization implies the design space has two orthogonal components: the representation of flow and the representation of geographic region.…”
Section: Design Spacementioning
confidence: 99%
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“…In this section we explore the design space of 3D OD flow maps. Dübel et al [17] categorize geospatial visualizations based on whether the reference space (i. e. the map or surface) is shown in 2D or 3D and whether the abstract attribute is shown in 2D or 3D. In the case of flow maps, this categorization implies the design space has two orthogonal components: the representation of flow and the representation of geographic region.…”
Section: Design Spacementioning
confidence: 99%
“…3). Following Dübel et al [17] we separate the design space into two orthogonal components: the representation of flow, e.g. straight or curved lines in 2 or 3D, and the representation of the geographic reference space, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Rendering map elements more efficiently is an important research target for satisfying both the visualization requirements and the demand for 2D/3D integrated information acquisition (Konecny 2011, Semmo et al 2012, Dübel et al 2014, Roth 2013. In the context of the vast increase in data volume and real-time data (since the Big Data era has arrived), the problem of inefficiency has become more significant.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, we will not go into detail of specific visualization techniques. Instead, we refer to the survey of presentation methods for geo-spatial data given in [20] and to the comprehensive books about visualizing spatial data by Andrienko and Andrienko [21] and Kraak and Ormeling [22].…”
Section: Terrain and Geo-spatial Datamentioning
confidence: 99%