3D Geospatial Data Integration

3D Geospatial Data Integration is the systematic process of unifying heterogeneous spatial datasets within a three-dimensional geographic framework, distinguished by its capacity to harmonize diverse data sources, coordinate systems, and temporal states into a coherent, topologically consistent representation for enhanced visualization, analysis, and modeling in geographic information science.

40

Publications

1.8K

Citations

143

Authors

50

Institutions

Publications per year

2017–2026

16

Authors

143

  1. MB
    Martin Breunig

    University of Bonn, Germany

    3 publications · 267 citations

    3

    h-index

  2. SZ
    Sisi Zlatanova

    Delft University of Technology, Netherlands

    3 publications · 113 citations

    3

    h-index

  3. FN
    Francesca Noardo

    Delft University of Technology, Netherlands

    2 publications · 44 citations

    2

    h-index

  4. LM
    Luis M. Vilches‐Blázquez

    Universidad Politécnica de Madrid, Spain

    2 publications · 91 citations

    2

    h-index

  5. VS
    Víctor Saquicela

    University of Cuenca, Ecuador

    2 publications · 91 citations

    2

    h-index

1–5 of 143