Event Line View: Interactive Visual Analysis of Irregular Time-dependent Data

Kresimir Matkovic, Andreas Ammer, Denis Gracanin, Werner Purgathofer, Alan Lez
Event Line View: Interactive Visual Analysis of Irregular Time-dependent Data
In Smart Graphics 2010. June 2010.
[Paper]

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Abstract

In this paper we present a novel approach to visualize ir- regularly occurring events. We introduce the event line view designed speci¯cally 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 cat- egorical 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 ¯rst 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 ille- gal 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.

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BibTeX

@inproceedings{matkovic-2010-eventlineview,
  title =      "Event Line View: Interactive Visual Analysis of Irregular
               Time-dependent Data",
  author =     "Kresimir Matkovic and Andreas Ammer and Denis Gracanin and
               Werner Purgathofer and Alan Lez",
  year =       "2010",
  abstract =   "In this paper we present a novel approach to visualize ir-
               regularly occurring events. We introduce the event line view
               designed speci¯cally 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
               cat- egorical 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 ¯rst 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 ille- gal 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.",
  month =      jun,
  booktitle =  "Smart Graphics 2010",
  location =   "Banff, Canada",
  publisher =  "Springer",
  keywords =   "Interactive Visual Analysis, Coordinated Multiple Views, Tag
               Cloud, Events in Time",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2010/matkovic-2010-eventlineview/",
}