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Temporal, geographical and categorical aggregations viewed through coordinated displays: a case study with highway incident data
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Source New Paradigms in Information Visualization and Manipulation archive
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 table of contents
Kansas City, Missouri, United States
Pages: 26 - 34  
Year of Publication: 1999
ISBN:1-58113-254-9
Authors
Anna Fredrikson  Human-Computer Interaction Laboratory, University of Maryland, UMIACS, A.V. Williams Bldg, College Park MD
Chris North  Human-Computer Interaction Laboratory, University of Maryland, UMIACS, A.V. Williams Bldg, College Park MD
Catherine Plaisant  Human-Computer Interaction Laboratory, University of Maryland, UMIACS, A.V. Williams Bldg, College Park MD
Ben Shneiderman  Human-Computer Interaction Laboratory, University of Maryland, UMIACS, A.V. Williams Bldg, College Park MD
Sponsors
SIGMIS: ACM Special Interest Group on Management Information Systems
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 29,   Citation Count: 8
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

AS94
DP95
GR94
HHW97
 
HKVS99
Hochheiser, H., Kositsyna N., Ville, G., Shneiderman, B, "Performance Benefits of Simultaneous over Sequential Menus as Task Complexity Increases," University of Maryland Computer Science Dept Technical Report CS-TR- 4066, UMIACS-TR-99-60, (September 1999).
LRB97
LR96
 
Moc98
Mockus, A., "Navigating Aggregation Spaces" ,Proc. IEEE Conference on Information Visualization '98, IEEE, Los Alamitos, CA (1998).
 
NS99
North, C., Shneiderman, B., "Snap-Together Visualization: Coordinating Multiple Views to Explore Information", University of Maryland Computer Science Dept. Technical Report CS-TR- 4020, (1999).

CITED BY  8

Collaborative Colleagues:
Anna Fredrikson: colleagues
Chris North: colleagues
Catherine Plaisant: colleagues
Ben Shneiderman: colleagues