Spatial Uncertainty Representation
Spatial Uncertainty Representation is a formal framework within spatial knowledge representation that models the imprecision, incompleteness, or ambiguity inherent in spatial data and relationships, distinguishing itself by explicitly characterizing the reliability, confidence, or probabilistic bounds of spatial information.
241
Publications
16.5K
Citations
617
Authors
320
Institutions
Publications per year
2017–2026
50
241
Simon B. Eickhoff, Angela R. Laird, Christian Grefkes et al. · Human Brain Mapping · 2009 · 2K citations · Full text
The Uncertain Geographic Context Problem
Mei‐Po Kwan · Annals of the Association of American Geographers · 2012 · 1.4K citations
A stochastic map for uncertain spatial relationships
Randall K. Smith, Matthew W. Self, Peter Cheeseman · 1988 · 421 citations
Visualizing Uncertain Information
Alan M. MacEachren · Cartographic Perspectives · 1992 · 368 citations · Full text
Computing, Geography, Visualization +15
1–5 of 241
617
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University of California, Santa Barbara, United States
5 publications · 501 citations
5
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5
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5
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4
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1–5 of 617
320
University of California, Berkeley
Berkeley, United States
10 h-index
15 publications
1.9K citations
University of California, Santa Barbara
Santa Barbara, United States
9 h-index
15 publications
1.2K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
7 h-index
13 publications
253 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
16 publications
604 citations
Stanford University
Stanford, United States
6 h-index
10 publications
976 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
8 publications
220 citations

The University of Melbourne
Melbourne, Australia
5 h-index
9 publications
275 citations
University of Wisconsin–Madison
Madison, United States
4 h-index
7 publications
123 citations
1–8 of 320
17 publications · 1.3K citations
15
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8 publications · 425 citations
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4 publications · 566 citations
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4 publications · 130 citations
4
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4 publications · 263 citations
4
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1–5