VISUALIZING LARGE, LOOSELY-STRUCTURED, HIERARCHICAL INFORMATION SPACES

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dc.contributor.authorSchaffer, Douglas Gordoneng
dc.date.accessioned2008-05-20T23:31:58Z
dc.date.available2008-05-20T23:31:58Z
dc.date.computerscience1999-05-27eng
dc.date.issued1995-09-01eng
dc.description.abstractThe magnitude of loosely, structured data available at users' fingertips from local and distributed sources is experiencing unprecedented growth. Even modern hierarchical visualization systems are overwhelmed by scalability problems due to the explosive increase in data magnitude. This thesis surveys the current state of the art in information visualization to determine essential visualization characteristics, leading to a set of guidelines for hierarchical visualization evaluation and design. The guidelines become the basis for a new hierarchicial visualization strategy, illustrated and implemented by the FLEX VIEW system. FLEX VIEW incorporates three main features of this strategy. First, the sophisticated use of emphasis and exclusion filters is applied to node attributes and an importance value to refine content quality. Second, the tight coupling of gestalt and detail views provides navigational capability and presents global trends and anomalies. Third, concepts are extended to abstracted hierarchies through automatic filter interface tuning. FLEX VIEW also introduces a \fIschlider\fR control for the compact selection of multiple, emphasized sub-ranges across a continuum.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department1997-602-04eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/31382
dc.identifier.urihttp://hdl.handle.net/1880/46563
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleVISUALIZING LARGE, LOOSELY-STRUCTURED, HIERARCHICAL INFORMATION SPACESeng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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