3D Spatial Querying
3D Spatial Querying is a computational method within 3D Geographic Information Systems that enables the retrieval and analysis of spatial data based on three-dimensional geometric relationships and topological constraints, distinguishing it from 2D querying by explicitly incorporating elevation, depth, and volumetric dimensions in query processing.
25
Publications
833
Citations
64
Authors
32
Institutions
Publications per year
2017–2026
5
25
1–5 of 25
64
5
h-index
5
h-index
2
h-index
2
h-index
2
h-index
1–5 of 64
32
Technical University of Munich
Munich, Germany
5 h-index
12 publications
714 citations
Utrecht University
Utrecht, The Netherlands
2 h-index
6 publications
168 citations
University of Technology Malaysia
Johor Bahru, Malaysia
2 h-index
6 publications
114 citations
University of Maryland, College Park
College Park, United States
2 h-index
2 publications
50 citations

Universidad Yachay Tech
Urcuquí, Ecuador
1 h-index
1 publications
21 citations

Bangladesh University of Engineering and Technology
Dhaka, Bangladesh
1 h-index
3 publications
39 citations
University of Massachusetts Lowell
Lowell, United States
1 h-index
2 publications
20 citations
Institut national de l’information géographique et forestière
Saint-Mandé, France
1 h-index
1 publications
12 citations
1–8 of 32
3 publications · 137 citations
3
h-index
2 publications · 245 citations
2
h-index
1 publications · 18 citations
1
h-index
1 publications · 55 citations
1
h-index
CAGEO · 1 publications · 80 citations
1
h-index
1–5