Spatiotemporal Data Models

Spatiotemporal Data Models is a formal framework for representing geographic phenomena by integrating spatial and temporal dimensions, distinguishing it from static spatial models through its explicit modeling of location, time, and their interdependent changes.

414

Publications

19.6K

Citations

1.3K

Authors

565

Institutions

Publications per year

2017–2026

156

Authors

1.3K

  1. AE
    Alan E. Gelfand

    Duke University, United States

    7 publications · 1.6K citations

    7

    h-index

  2. CS
    Christian S. Jensen

    Aalborg University, Denmark

    7 publications · 219 citations

    7

    h-index

  3. MY
    May Yuan

    University of Oklahoma, United States

    6 publications · 481 citations

    6

    h-index

  4. NT
    Nectaria Tryfona

    Aalborg University, Denmark

    6 publications · 219 citations

    6

    h-index

  5. SB
    Sudipto Banerjee

    University of Minnesota, United States

    5 publications · 1.4K citations

    5

    h-index

1–5 of 1.3K

Venues

  1. 17

    h-index

  2. Transactions in GIS

    13 publications · 1K citations

    13

    h-index

  3. Environmetrics

    8 publications · 344 citations

    8

    h-index

  4. GeoInformatica

    7 publications · 255 citations

    7

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 7 publications · 514 citations

    7

    h-index

1–5