Spatial Modeling

Spatial modeling is an analytical methodology that employs computational procedures to represent, analyze, and simulate spatial relationships among geographic phenomena.

13.8K

Publications

941.3K

Citations

31.6K

Authors

6K

Institutions

Publications per year

2017–2026

3.9K

Authors

31.6K

  1. AE
    Alan E. Gelfand

    Duke University, United States

    64 publications · 7.5K citations

    40

    h-index

  2. DA
    Daniel A. Griffith

    The University of Texas at Dallas, United States

    61 publications · 6.8K citations

    39

    h-index

  3. NC
    Noel Cressie

    Iowa State University, United States

    50 publications · 4.5K citations

    35

    h-index

  4. AS
    A. Stewart Fotheringham

    Arizona State University, United States

    45 publications · 9.4K citations

    32

    h-index

  5. LA
    Luc Anselin

    Arizona State University, United States

    40 publications · 12.9K citations

    32

    h-index

1–5 of 31.6K

Venues

  1. 82

    h-index

  2. Ecological Modelling

    202 publications · 37.5K citations

    66

    h-index

  3. Journal of the American Statistical Association

    127 publications · 29.9K citations

    66

    h-index

  4. Water Resources Research

    128 publications · 11.1K citations

    61

    h-index

  5. Geographical Analysis

    207 publications · 19K citations

    60

    h-index

1–5

See also

Spatial Modeling

Core Methods

Applications

Evaluation

Data Sources

Limitations