Pregled bibliografske jedinice broj: 965230
Event Line View: Interactive Visual Analysis of Irregular Time-Dependent Data
Event Line View: Interactive Visual Analysis of Irregular Time-Dependent Data // Smart Graphics 10th International Symposium on Smart Graphics, Banff, Canada, June 24-26, 2010 Proceedings / Taylor, Robyn ; Boulanger, Pierre ; Krüger, Antonio ; Olivier, Patrick (ur.).
Berlin: Springer, 2010. 208, 219 doi:10.1007/978-3-642-13544-6_20 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Event Line View: Interactive Visual Analysis of Irregular Time-Dependent Data
Autori
Matković, Krešimir ; Lež, Alan ; Gračanin, Denis ; Ammer, Andreas ; Purgathofer, Werner
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Smart Graphics 10th International Symposium on Smart Graphics, Banff, Canada, June 24-26, 2010 Proceedings
/ Taylor, Robyn ; Boulanger, Pierre ; Krüger, Antonio ; Olivier, Patrick - Berlin : Springer, 2010
ISBN
978-3-642-13543-9
Skup
Smart Graphics 2010
Mjesto i datum
Banff, Kanada, 24.10.2010. - 26.10.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Interactive Visual Analysis, Coordinated Multiple Views, Events in Time, Tag Cloud
Sažetak
In this paper we present a novel approach to visualize irregularly occurring events. We introduce the event line view designed specifically for such events data (a subset of time dependent data). The event line view is integrated in a coordinated multiple views (CMV) system and linked with other conventional views to support interactive visual analysis. The main idea is to analyze events relative to two categorical attributes from a multidimensional multivariate dataset. Since we are interested in the categorical dimension we have also integrated and linked the tag cloud view in the CMV system. To the best of our knowledge this is the first integration of the tag cloud view in a CMV system. The tag cloud view can depict a ratio of the selected items versus the non-selected items. The proposed approach is illustrated using the VAST Challenge 2008 Geo-Spatial data set that contains data on interdiction or landing of illegal immigrants in the USA. It is a multivariate multidimensional dataset with irregular events that illustrates the potential and capabilities of the proposed approach and the developed CMV system.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo