Document Detail


Spatialization design: comparing points and landscapes.
MedLine Citation:
PMID:  17968073     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
Spatializations represent non-spatial data using a spatial layout similar to a map. We present an experiment comparing different visual representations of spatialized data, to determine which representations are best for a non-trivial search and point estimation task. Primarily, we compare point-based displays to 2D and 3D information landscapes. We also compare a colour (hue) scale to a grey (lightness) scale. For the task we studied, point-based spatializations were far superior to landscapes, and 2D landscapes were superior to 3D landscapes. Little or no benefit was found for redundantly encoding data using colour or greyscale combined with landscape height. 3D landscapes with no colour scale (height-only) were particularly slow and inaccurate. A colour scale was found to be better than a greyscale for all display types, but a greyscale was helpful compared to height-only. These results suggest that point-based spatializations should be chosen over landscape representations, at least for tasks involving only point data itself rather than derived information about the data space.
Authors:
Melanie Tory; David Sprague; Fuqu Wu; Wing Yan So; Tamara Munzner
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  IEEE transactions on visualization and computer graphics     Volume:  13     ISSN:  1077-2626     ISO Abbreviation:  IEEE Trans Vis Comput Graph     Publication Date:    2007 Nov-Dec
Date Detail:
Created Date:  2007-10-30     Completed Date:  2007-12-14     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9891704     Medline TA:  IEEE Trans Vis Comput Graph     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1262-9     Citation Subset:  -    
Affiliation:
University of Victoria. mtory@cs.uvic.ca
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