Map LineUps : effects of spatial structure on graphical inference
- Submitting institution
-
The University of Warwick
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11632
- Type
- D - Journal article
- DOI
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10.1109/TVCG.2016.2598862
- Title of journal
- IEEE Transactions on Visualization and Computer Graphics
- Article number
- -
- First page
- 391
- Volume
- 23
- Issue
- 1
- ISSN
- 1077-2626
- Open access status
- Technical exception
- Month of publication
- January
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
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I - Artificial Intelligence and Human-Centred Computing
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in the most prestigious journal in the field, this paper is the first to introduce a methodology and empirical evidence for understanding the visual perception of spatial correlation on systematically varied 2D maps. Funded by an EU grant (FP7-IP-608142), the results informed the design decisions for the VALCRI system. The approach has been extended to space-time (Pena-Araya, INRIA), and has impacted measuring soft knowledge (Kijmongkolchai, Oxford) and bias (Ellis, Konstanz). The preliminary version at IEEE VIS 2016, the top visualisation conference, was awarded the Best Paper Honorable Mention as one of the best three papers.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -