Geometric Data Model
A Geometric Data Model is a spatial data model that explicitly represents geographic entities through geometric primitives such as points, lines, and polygons, distinguished by its focus on metric and coordinate-based descriptions of spatial form and structure.
212
Publications
10.3K
Citations
550
Authors
261
Institutions
Publications per year
2017–2026
37
Parents
212
1–5 of 212
550
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261
Stanford University
Stanford, United States
4 h-index
9 publications
595 citations
University of Wales
Cardiff, United Kingdom
3 h-index
3 publications
1.2K citations
University of California, Santa Barbara
Santa Barbara, United States
3 h-index
5 publications
213 citations

Technische Universität Darmstadt
Darmstadt, Germany
3 h-index
6 publications
174 citations

Ghent University
Ghent, Belgium
3 h-index
3 publications
85 citations
Nanjing Normal University
Nanjing, China
3 h-index
7 publications
82 citations
Helsinki Institute for Information Technology
Espoo, Finland
3 h-index
5 publications
138 citations
KU Leuven
Leuven, Belgium
3 h-index
7 publications
150 citations
1–8 of 261
9 publications · 1.4K citations
9
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4 publications · 157 citations
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3 publications · 106 citations
3
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3 publications · 53 citations
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3 publications · 100 citations
3
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1–5