Map Uncertainty Quantification
Map Uncertainty Quantification is a formal framework within spatial prediction that characterizes the uncertainty associated with spatially explicit predictions by systematically assessing the reliability, variability, and confidence of predicted values across geographic space.
153
Publications
8.5K
Citations
515
Authors
272
Institutions
Publications per year
2017–2026
54
Parents
153
A stochastic map for uncertain spatial relationships
Randall K. Smith, Matthew W. Self, Peter Cheeseman · 1988 · 421 citations
Weldon A. Lodwick, W.J. Monson, LARRY SVOBODA · International Journal of Geographical Information Systems · 1990 · 368 citations
1–5 of 153
515
SUNY College of Environmental Science and Forestry, United States
4 publications · 104 citations
4
h-index
3
h-index
University of California, Santa Barbara, United States
3 publications · 262 citations
3
h-index
3
h-index
3
h-index
1–5 of 515
272
University of Wisconsin–Madison
Madison, United States
5 h-index
14 publications
369 citations

University of Tübingen
Tübingen, Germany
4 h-index
9 publications
443 citations
University of Oxford
Oxford, United Kingdom
4 h-index
14 publications
760 citations

US Forest Service
Washington, United States
3 h-index
9 publications
150 citations

University of Twente
Enschede, The Netherlands
3 h-index
11 publications
453 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
7 publications
171 citations
Wageningen University & Research
Wageningen, The Netherlands
3 h-index
5 publications
155 citations

Sapienza University of Rome
Rome, Italy
3 h-index
4 publications
485 citations
1–8 of 272
8 publications · 904 citations
8
h-index
6 publications · 165 citations
6
h-index
6 publications · 332 citations
6
h-index
5 publications · 185 citations
5
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5 publications · 490 citations
5
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1–5