Topological Data Model

A Topological Data Model is a spatial data model that represents geographic features by explicitly encoding the spatial relationships among them, such as adjacency, connectivity, and containment, based on topological principles rather than precise geometric coordinates.

230

Publications

12.3K

Citations

619

Authors

326

Institutions

Publications per year

2017–2026

91

Authors

619

  1. JL
    Jiyeong Lee

    University of Seoul, South Korea

    7 publications · 372 citations

    7

    h-index

  2. MJ
    Max J. Egenhofer

    University of Maine, United States

    4 publications · 924 citations

    4

    h-index

  3. GP
    Giovanni Petri

    Institute for Scientific Interchange, Italy

    4 publications · 272 citations

    4

    h-index

  4. VV
    Victor Vianu

    University of California San Diego, United States

    4 publications · 157 citations

    4

    h-index

  5. UU
    Uznir Ujang

    University of Technology Malaysia, Malaysia

    4 publications · 62 citations

    4

    h-index

1–5 of 619

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 585 citations

    8

    h-index

  2. ISPRS International Journal of Geo-Information

    IJGI · 6 publications · 104 citations

    6

    h-index

  3. 6

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  4. Expert Systems with Applications

    6 publications · 224 citations

    6

    h-index

  5. Computer-Aided Design and Applications

    6 publications · 170 citations

    6

    h-index

1–5