Field-based Data Models

Field-Based Data Models is a geographic data structure that represents spatial phenomena as continuous distributions over a two- or three-dimensional space, where each location is associated with a value or set of values derived from an underlying mathematical function or sampled field.

16

Publications

602

Citations

44

Authors

34

Institutions

Publications per year

2017–2026

4

Authors

44

  1. KK
    Karen K. Kemp

    University of California, Santa Barbara, United States

    3 publications · 118 citations

    3

    h-index

  2. ME
    Muammer Ermiş

    Middle East Technical University, Türkiye

    2 publications · 73 citations

    2

    h-index

  3. ÖS
    Özgül Salor

    Gazi University, Türkiye

    2 publications · 73 citations

    2

    h-index

  4. SJ
    Shui‐Hua Jiang

    Nanchang University, China

    1 publications · 151 citations

    1

    h-index

  5. DB
    David B. Turner

    Simcyp (United Kingdom), United Kingdom

    1 publications · 21 citations

    1

    h-index

1–5 of 44

Venues

  1. Transactions in GIS

    2 publications · 86 citations

    2

    h-index

  2. IEEE Transactions on Industry Applications

    2 publications · 73 citations

    2

    h-index

  3. International Journal of Civil Engineering

    1 publications · 76 citations

    1

    h-index

  4. Computers and Electronics in Agriculture

    1 publications · 18 citations

    1

    h-index

  5. Remote Sensing

    1 publications · 31 citations

    1

    h-index

1–5