Cartographic Uncertainty Visualization
Cartographic Uncertainty Visualization is a cartographic method that integrates visual representations of positional and attribute inaccuracies within geographic data to explicitly communicate the reliability and spatial integrity of mapped information.
10
Publications
315
Citations
26
Authors
16
Institutions
Publications per year
2017–2026
4
10
1–5 of 10
26
2
h-index
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 26
16

Masaryk University
Brno, Czechia
2 h-index
8 publications
121 citations
ETH Zurich
Zurich, Switzerland
1 h-index
3 publications
168 citations
Met Office
Exeter, United Kingdom
1 h-index
3 publications
210 citations
University of Oklahoma
Norman, United States
1 h-index
2 publications
86 citations
Syracuse University
Syracuse, United States
1 h-index
1 publications
46 citations
University of South Carolina
Columbia, United States
1 h-index
3 publications
66 citations
Climate Central
Princeton, United States
1 h-index
1 publications
43 citations
South Central Climate Adaptation Science Center
Norman, United States
1 h-index
1 publications
43 citations
1–8 of 16
1 publications · 46 citations
1
h-index
1 publications · 22 citations
1
h-index
1 publications · 43 citations
1
h-index
1 publications · 12 citations
1
h-index
JGSA · 1 publications · 18 citations
1
h-index
1–5