Non-overlapping aggregated multivariate glyphs for moving objects

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

12 Citaties (Scopus)

Uittreksel

In moving object visualization, objects and their attributes are commonly represented by glyphs on a geographic map. In areas on the map densely populated by these objects, visual clutter and occlusion of glyphs occur. We propose a method to solve this problem by partitioning the set of all objects into subsets that are each visualized using an aggregated multivariate glyph that shows the distribution of several attributes of its objects, such as heading, type and velocity. We choose the combination of subsets and glyph design such that the glyphs do not overlap and the number of subsets is approximately maximal. The partition is maintained and updated while the objects move. We use examples from the maritime domain, but our method is applicable to a wider range of dynamic data. Through a user study we find that, for a set of representative tasks, our method does not perform significantly worse than competitive visualizations with respect to correctness. Furthermore, it performs significantly better for density comparison tasks in high density data sets. We also find that the participants of the user study have a preference for our method.
TaalEngels
Titel2014 IEEE Pacific Visualization Symposium (PacificVis, Yokohama, Japan, March 4-7, 2014)
Plaats van productiePiscataway
UitgeverijIEEE Computer Society
Pagina's17-24
ISBN van geprinte versie978-1-4799-2873-6
DOI's
StatusGepubliceerd - 2014
Evenement7th IEEE Pacific Visualization Symposium (PacificVis 2014) - Yokohama, Japan
Duur: 4 mrt 20147 mrt 2014
Congresnummer: 7
http://www.fj.ics.keio.ac.jp/pvis2014/

Congres

Congres7th IEEE Pacific Visualization Symposium (PacificVis 2014)
Verkorte titelPacificVis 2014
LandJapan
StadYokohama
Periode4/03/147/03/14
Ander7th IEEE Pacific Visualization Symposium
Internet adres

Vingerafdruk

Visualization

Citeer dit

Scheepens, R. J., Wetering, van de, H. M. M., & Wijk, van, J. J. (2014). Non-overlapping aggregated multivariate glyphs for moving objects. In 2014 IEEE Pacific Visualization Symposium (PacificVis, Yokohama, Japan, March 4-7, 2014) (blz. 17-24). Piscataway: IEEE Computer Society. DOI: 10.1109/PacificVis.2014.13
Scheepens, R.J. ; Wetering, van de, H.M.M. ; Wijk, van, J.J./ Non-overlapping aggregated multivariate glyphs for moving objects. 2014 IEEE Pacific Visualization Symposium (PacificVis, Yokohama, Japan, March 4-7, 2014). Piscataway : IEEE Computer Society, 2014. blz. 17-24
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title = "Non-overlapping aggregated multivariate glyphs for moving objects",
abstract = "In moving object visualization, objects and their attributes are commonly represented by glyphs on a geographic map. In areas on the map densely populated by these objects, visual clutter and occlusion of glyphs occur. We propose a method to solve this problem by partitioning the set of all objects into subsets that are each visualized using an aggregated multivariate glyph that shows the distribution of several attributes of its objects, such as heading, type and velocity. We choose the combination of subsets and glyph design such that the glyphs do not overlap and the number of subsets is approximately maximal. The partition is maintained and updated while the objects move. We use examples from the maritime domain, but our method is applicable to a wider range of dynamic data. Through a user study we find that, for a set of representative tasks, our method does not perform significantly worse than competitive visualizations with respect to correctness. Furthermore, it performs significantly better for density comparison tasks in high density data sets. We also find that the participants of the user study have a preference for our method.",
author = "R.J. Scheepens and {Wetering, van de}, H.M.M. and {Wijk, van}, J.J.",
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Scheepens, RJ, Wetering, van de, HMM & Wijk, van, JJ 2014, Non-overlapping aggregated multivariate glyphs for moving objects. in 2014 IEEE Pacific Visualization Symposium (PacificVis, Yokohama, Japan, March 4-7, 2014). IEEE Computer Society, Piscataway, blz. 17-24, Yokohama, Japan, 4/03/14. DOI: 10.1109/PacificVis.2014.13

Non-overlapping aggregated multivariate glyphs for moving objects. / Scheepens, R.J.; Wetering, van de, H.M.M.; Wijk, van, J.J.

2014 IEEE Pacific Visualization Symposium (PacificVis, Yokohama, Japan, March 4-7, 2014). Piscataway : IEEE Computer Society, 2014. blz. 17-24.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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AU - Wetering, van de,H.M.M.

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N2 - In moving object visualization, objects and their attributes are commonly represented by glyphs on a geographic map. In areas on the map densely populated by these objects, visual clutter and occlusion of glyphs occur. We propose a method to solve this problem by partitioning the set of all objects into subsets that are each visualized using an aggregated multivariate glyph that shows the distribution of several attributes of its objects, such as heading, type and velocity. We choose the combination of subsets and glyph design such that the glyphs do not overlap and the number of subsets is approximately maximal. The partition is maintained and updated while the objects move. We use examples from the maritime domain, but our method is applicable to a wider range of dynamic data. Through a user study we find that, for a set of representative tasks, our method does not perform significantly worse than competitive visualizations with respect to correctness. Furthermore, it performs significantly better for density comparison tasks in high density data sets. We also find that the participants of the user study have a preference for our method.

AB - In moving object visualization, objects and their attributes are commonly represented by glyphs on a geographic map. In areas on the map densely populated by these objects, visual clutter and occlusion of glyphs occur. We propose a method to solve this problem by partitioning the set of all objects into subsets that are each visualized using an aggregated multivariate glyph that shows the distribution of several attributes of its objects, such as heading, type and velocity. We choose the combination of subsets and glyph design such that the glyphs do not overlap and the number of subsets is approximately maximal. The partition is maintained and updated while the objects move. We use examples from the maritime domain, but our method is applicable to a wider range of dynamic data. Through a user study we find that, for a set of representative tasks, our method does not perform significantly worse than competitive visualizations with respect to correctness. Furthermore, it performs significantly better for density comparison tasks in high density data sets. We also find that the participants of the user study have a preference for our method.

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Scheepens RJ, Wetering, van de HMM, Wijk, van JJ. Non-overlapping aggregated multivariate glyphs for moving objects. In 2014 IEEE Pacific Visualization Symposium (PacificVis, Yokohama, Japan, March 4-7, 2014). Piscataway: IEEE Computer Society. 2014. blz. 17-24. Beschikbaar vanaf, DOI: 10.1109/PacificVis.2014.13