Space-time Data Models

Space-Time Data Models is a geographic data structure that integrates spatial and temporal dimensions to represent, manage, and analyze dynamic phenomena by explicitly modeling the geometric, topological, and temporal relationships of entities over space and time.

108

Publications

6.1K

Citations

254

Authors

137

Institutions

Publications per year

2017–2026

19

Authors

254

  1. AE
    Alan E. Gelfand

    Duke University, United States

    3 publications · 107 citations

    3

    h-index

  2. DP
    D. Posa

    University of Salento, Italy

    3 publications · 137 citations

    3

    h-index

  3. HE
    Herbert Edelsbrunner

    University of Illinois Urbana-Champaign, United States

    2 publications · 139 citations

    2

    h-index

  4. MP
    Monica Palma

    University of Salento, Italy

    2 publications · 48 citations

    2

    h-index

  5. PH
    Peter Hall

    Australian National University, Australia

    2 publications · 62 citations

    2

    h-index

1–5 of 254

Venues

  1. 5

    h-index

  2. Environmental Modelling & Software

    5 publications · 161 citations

    5

    h-index

  3. Computers & Geosciences

    CAGEO · 3 publications · 137 citations

    3

    h-index

  4. 3

    h-index

  5. GeoInformatica

    2 publications · 214 citations

    2

    h-index

1–5