Small Multiples with Gaps
- Submitting institution
-
City, University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 765
- Type
- D - Journal article
- DOI
-
10.1109/TVCG.2016.2598542
- Title of journal
- IEEE Transactions on Visualization and Computer Graphics
- Article number
- -
- First page
- 381
- Volume
- 23
- Issue
- 1
- ISSN
- 1077-2626
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2016
- 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
-
4
- Research group(s)
-
-
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- First paper to comprehensively assess multiple criteria for creating ‘Grid Maps’ or ‘Tile Maps’ in ways that generalise to other types of visualisation. Presented at IEEE Information Visualization (A* CORE; "flagship conference, a leading venue in a discipline area"), Baltimore, 2016, 25% acceptance.
Represents key output from ALGOVIS Marie Curie Fellowship (H2020-MSCA-IF-2014 656741) and VALCRI (FP7-IP-608142). Work used in RAMP COVID-19 volunteering and UKRI RAMPVIS (EP/V054236/1), by West Midlands Police and in commercial exploitation of VALCRI by Genetec Inc. Also foundational to InfoVis 2020 Hon Mention award winning ‘Pipelines’ paper (Meulemans et al., 2020) and McNeil and Hale (2017).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
