3D Geospatial Data Structures
3D Geospatial Data Structures is a formal computational framework that organizes spatial information in three-dimensional Euclidean space by encoding geometric, topological, and attribute relations of Earth-relative features for efficient storage, retrieval, and analysis within 3D Geographic Information Systems.
43
Publications
1.7K
Citations
119
Authors
46
Institutions
Publications per year
2017–2026
14
43
Thomas K. Peucker, Nicholas Chrisman · The American Cartographer · 1975 · 152 citations
Computing, Geography, Geoinformatics +17
Indexing the Sphere with the Hierarchical Triangular Mesh
Alexander S. Szalay, Jim Gray, George Fekete et al. · ArXiv.org · 2007 · 98 citations · Full text
Computing, Geoinformatics, Geographic Information Science +16
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46

Delft University of Technology
Delft, The Netherlands
7 h-index
14 publications
328 citations
University of Technology Malaysia
Johor Bahru, Malaysia
4 h-index
11 publications
256 citations

University of Calgary
Calgary, Canada
3 h-index
8 publications
167 citations
Technical University of Munich
Munich, Germany
2 h-index
6 publications
720 citations

University of Twente
Enschede, The Netherlands
2 h-index
2 publications
48 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
34 citations
Indian Institute of Remote Sensing
Dehra Dūn, India
1 h-index
4 publications
52 citations
Southern Oregon University
Ashland, United States
1 h-index
1 publications
42 citations
1–8 of 46
3 publications · 36 citations
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CAGEO · 3 publications · 124 citations
3
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3 publications · 109 citations
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IJGI · 2 publications · 39 citations
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2 publications · 64 citations
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1–5