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

Authors

64

  1. AB
    André Borrmann

    Technical University of Munich, Germany

    5 publications · 329 citations

    5

    h-index

  2. ER
    E. Rank

    Technical University of Munich, Germany

    5 publications · 329 citations

    5

    h-index

  3. RV
    René van Oostrum

    Utrecht University, Netherlands

    2 publications · 56 citations

    2

    h-index

  4. SS
    Stefanie Schraufstetter

    Technical University of Munich, Germany

    2 publications · 65 citations

    2

    h-index

  5. MA
    Marcus Apel

    Equinor (United Kingdom), United Kingdom

    2 publications · 90 citations

    2

    h-index

1–5 of 64

Venues

  1. 3

    h-index

  2. Advanced Engineering Informatics

    2 publications · 245 citations

    2

    h-index

  3. 1

    h-index

  4. Journal of Computing in Civil Engineering

    1 publications · 55 citations

    1

    h-index

  5. Computers & Geosciences

    CAGEO · 1 publications · 80 citations

    1

    h-index

1–5