Temporal, geographical and categorical aggregations viewed through coordinated displays: a case study with highway incident data

  • Authors:

  • Anna Fredrikson;Chris North;Catherine Plaisant;Ben Shneiderman

  • Affiliations:

  • Human-Computer Interaction Laboratory, University of Maryland, UMIACS, A.V. Williams Bldg, College Park MD;Human-Computer Interaction Laboratory, University of Maryland, UMIACS, A.V. Williams Bldg, College Park MD;Human-Computer Interaction Laboratory, University of Maryland, UMIACS, A.V. Williams Bldg, College Park MD;Human-Computer Interaction Laboratory, University of Maryland, UMIACS, A.V. Williams Bldg, College Park MD

  • Venue:
  • Proceedings of the 1999 workshop on new paradigms in information visualization and manipulation in conjunction with the eighth ACM internation conference on Information and knowledge management
  • Year:
  • 1999

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Abstract

Information visualization displays can hold a limited number of data points, typically a few thousand, before they get crowded. One way to solve this problem with larger data sets is to create aggregates. Aggregations were used together with the Snap-Together Visualization system to coordinate the visual displays of aggregates and their content. If two displays each hold one thousand items then rapid access and visibility can be maintained for a million points. This paper presents examples based on a database of highway incident data.