Spatio-temporal Data Model

Spatio-Temporal Data Model is a formal representation framework that integrates spatial and temporal dimensions to explicitly capture and manage the location, extent, and evolution of entities or phenomena over time within a unified data structure.

540

Publications

27.7K

Citations

1.6K

Authors

643

Institutions

Publications per year

2017–2026

194

Authors

1.6K

  1. CS
    Christian S. Jensen

    Aalborg University, Denmark

    9 publications · 1.4K citations

    9

    h-index

  2. MS
    Markus Schneider

    University of Florida, United States

    8 publications · 1.2K citations

    8

    h-index

  3. DP
    Dimitris Papadias

    Hong Kong University of Science and Technology, Hong Kong SAR China

    7 publications · 792 citations

    7

    h-index

  4. YT
    Yufei Tao

    Chinese University of Hong Kong, Hong Kong SAR China

    6 publications · 748 citations

    6

    h-index

  5. CC
    Christophe Claramunt

    Institut de Recherche de l’École Navale, France

    6 publications · 599 citations

    6

    h-index

1–5 of 1.6K

Venues

  1. 15

    h-index

  2. GeoInformatica

    15 publications · 590 citations

    13

    h-index

  3. Transactions in GIS

    13 publications · 1.1K citations

    13

    h-index

  4. ISPRS International Journal of Geo-Information

    IJGI · 10 publications · 277 citations

    10

    h-index

  5. arXiv (Cornell University)

    Repository · 9 publications · 201 citations

    9

    h-index

1–5