dc.contributor.author |
MacEachren, AM |
en |
dc.contributor.author |
Roth, RE |
en |
dc.contributor.author |
O'Brien, J |
en |
dc.contributor.author |
Li, B |
en |
dc.contributor.author |
Swingley, D |
en |
dc.contributor.author |
Gahegan, Mark |
en |
dc.date.accessioned |
2018-10-23T03:54:42Z |
en |
dc.date.issued |
2012-12 |
en |
dc.identifier.issn |
1077-2626 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/43326 |
en |
dc.description.abstract |
This paper presents two linked empirical studies focused on uncertainty visualization. The experiments are framed from two conceptual perspectives. First, a typology of uncertainty is used to delineate kinds of uncertainty matched with space, time, and attribute components of data. Second, concepts from visual semiotics are applied to characterize the kind of visual signification that is appropriate for representing those different categories of uncertainty. This framework guided the two experiments reported here. The first addresses representation intuitiveness, considering both visual variables and iconicity of representation. The second addresses relative performance of the most intuitive abstract and iconic representations of uncertainty on a map reading task. Combined results suggest initial guidelines for representing uncertainty and discussion focuses on practical applicability of results. |
en |
dc.format.medium |
Print |
en |
dc.language |
eng |
en |
dc.relation.ispartofseries |
IEEE transactions on visualization and computer graphics |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
Visual Semiotics & Uncertainty Visualization: An Empirical Study. |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1109/tvcg.2012.279 |
en |
pubs.issue |
12 |
en |
pubs.begin-page |
2496 |
en |
pubs.volume |
18 |
en |
dc.rights.holder |
Copyright: The author |
en |
dc.identifier.pmid |
26357158 |
en |
pubs.end-page |
2505 |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Research Support, U.S. Gov't, Non-P.H.S. |
en |
pubs.subtype |
Journal Article |
en |
pubs.elements-id |
362897 |
en |
pubs.org-id |
Science |
en |
pubs.org-id |
School of Computer Science |
en |
dc.identifier.eissn |
1941-0506 |
en |
pubs.record-created-at-source-date |
2015-09-11 |
en |
pubs.dimensions-id |
26357158 |
en |