Field-based Spatial Data Model

A Field-Based Spatial Data Model is a spatial data model that represents geographic phenomena as continuous distributions of values over space, distinguished from object-based models by treating space as a field of measured or estimated attributes at arbitrary locations.

30

Publications

1.3K

Citations

95

Authors

51

Institutions

Publications per year

2017–2026

8

Authors

95

  1. KK
    Karen K. Kemp

    University of California, Santa Barbara, United States

    3 publications · 118 citations

    3

    h-index

  2. MF
    Michael F. Goodchild

    University of California, Santa Barbara, United States

    2 publications · 231 citations

    2

    h-index

  3. TA
    Tinghua Ai

    Wuhan University, China

    2 publications · 50 citations

    2

    h-index

  4. SH
    Shu‐Chien Hsu

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 53 citations

    1

    h-index

  5. TP
    Thomas P. Eisele

    Tulane University, United States

    1 publications · 49 citations

    1

    h-index

1–5 of 95

Venues

  1. 7

    h-index

  2. Transactions in GIS

    2 publications · 86 citations

    2

    h-index

  3. Journal of the Brazilian Computer Society

    JBCS · 1 publications · 10 citations

    1

    h-index

  4. 1

    h-index

  5. Chinese Geographical Science

    1 publications · 22 citations

    1

    h-index

1–5