Multiresolution Spatial Representations
Multiresolution Spatial Representations is a geographic data structure that enables the representation of spatial phenomena at varying levels of detail or scales within a single, integrated framework, distinguished by its capacity to support efficient data storage, visualization, and analysis across multiple resolutions.
41
Publications
1.8K
Citations
122
Authors
63
Institutions
Publications per year
2017–2026
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122
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63

Lawrence Livermore National Laboratory
Livermore, United States
2 h-index
4 publications
189 citations

University of Genoa
Genoa, Italy
2 h-index
6 publications
186 citations
University of California, Berkeley
Berkeley, United States
2 h-index
4 publications
122 citations

Peking University
Beijing, China
2 h-index
5 publications
105 citations

University of Waterloo
Waterloo, Canada
2 h-index
4 publications
122 citations
University of California, Merced
Merced, United States
1 h-index
2 publications
24 citations

United States Air Force Research Laboratory
Wright-Patterson AFB, United States
1 h-index
2 publications
80 citations
University of Verona
Verona, Italy
1 h-index
1 publications
25 citations
1–8 of 63
2 publications · 70 citations
2
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2 publications · 156 citations
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DKE · 1 publications · 48 citations
1
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1 publications · 33 citations
1
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1 publications · 44 citations
1
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1–5