Geometric Data Model

A Geometric Data Model is a spatial data model that explicitly represents geographic entities through geometric primitives such as points, lines, and polygons, distinguished by its focus on metric and coordinate-based descriptions of spatial form and structure.

212

Publications

10.3K

Citations

550

Authors

261

Institutions

Publications per year

2017–2026

37

Authors

550

  1. PP
    Pieter Pauwels

    Ghent University, Belgium

    3 publications · 168 citations

    3

    h-index

  2. XJ
    Xiangqian Jiang

    University of Huddersfield, United Kingdom

    3 publications · 73 citations

    3

    h-index

  3. MT
    Markku Tamminen

    Helsinki Institute for Information Technology, Finland

    3 publications · 103 citations

    3

    h-index

  4. RS
    Reijo Sulonen

    Aalto University, Finland

    3 publications · 103 citations

    3

    h-index

  5. ZY
    Zhaoyuan Yu

    Nanjing Normal University, China

    2 publications · 22 citations

    3

    h-index

1–5 of 550