Spatial Data Models

Spatial Data Models is a formal framework in Geographic Information Science that specifies how spatial entities and their geometric, topological, and attribute characteristics are structured and represented within Geographic Information Systems for computational analysis and visualization.

3.3K

Publications

262.1K

Citations

6.5K

Authors

1.8K

Institutions

Publications per year

2017–2026

707

Authors

6.5K

  1. NC
    Noel Cressie

    Iowa State University, United States

    33 publications · 20.8K citations

    29

    h-index

  2. MF
    Michael F. Goodchild

    University of California, Santa Barbara, United States

    32 publications · 3.5K citations

    24

    h-index

  3. MJ
    Max J. Egenhofer

    University of Maine, United States

    28 publications · 3.2K citations

    23

    h-index

  4. LA
    Luc Anselin

    Arizona State University, United States

    23 publications · 7.2K citations

    21

    h-index

  5. AE
    Alan E. Gelfand

    Duke University, United States

    25 publications · 3.8K citations

    21

    h-index

1–5 of 6.5K

Venues

  1. 65

    h-index

  2. Computers Environment and Urban Systems

    80 publications · 6.6K citations

    43

    h-index

  3. Computers & Geosciences

    CAGEO · 87 publications · 9.3K citations

    42

    h-index

  4. Transactions in GIS

    77 publications · 4.2K citations

    32

    h-index

  5. ISPRS International Journal of Geo-Information

    IJGI · 73 publications · 3.1K citations

    30

    h-index

1–5