Prediction Uncertainty Visualization
Prediction Uncertainty Visualization is a visualization technique that specifically represents the uncertainty associated with predicted outcomes in spatial data, distinguishing it from other uncertainty visualizations by focusing on the predictive nature of the uncertainty rather than observed or measured variability.
13
Publications
1.1K
Citations
49
Authors
26
Institutions
Publications per year
2017–2026
7
13
1–5 of 13
49
3
h-index
3
h-index
3
h-index
University of California, Santa Barbara, United States
2 publications · 227 citations
2
h-index
2
h-index
1–5 of 49
26
Clemson University
Clemson, United States
3 h-index
6 publications
674 citations
University of Washington
Seattle, United States
3 h-index
9 publications
1.6K citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
253 citations
University of California, Santa Barbara
Santa Barbara, United States
2 h-index
5 publications
597 citations
University of Utah
Salt Lake City, United States
2 h-index
10 publications
1.1K citations
Département mathématiques, informatique, sciences de la donnée et technologies du numérique
Castanet-Tolosan, France
1 h-index
1 publications
31 citations
Neurosciences Institute
La Jolla, United States
1 h-index
1 publications
33 citations
Stanford University
Stanford, United States
1 h-index
5 publications
165 citations
1–8 of 26
TVCG · 2 publications · 144 citations
2
h-index
1 publications · 27 citations
1
h-index
1 publications · 33 citations
1
h-index
HFES · 1 publications · 18 citations
1
h-index
1 publications · 143 citations
1
h-index
1–5