Spatial Diffusion Models

Spatial Diffusion Models is a computational framework within geographical and population dynamics research that formally describes the spread of phenomena—such as innovations, diseases, or religious beliefs—across geographic space over time by specifying the mechanisms, rates, and pathways through which such entities propagate between spatially distributed populations.

449

Publications

24.2K

Citations

1.1K

Authors

571

Institutions

Publications per year

2017–2026

135

Authors

1.1K

  1. HS
    Harvey Starr

    University of South Carolina, United States

    5 publications · 546 citations

    5

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  2. BA
    Benjamin A. Most

    University of Iowa, United States

    4 publications · 446 citations

    4

    h-index

  3. PG
    Peter Gould

    Pennsylvania State University, United States

    4 publications · 154 citations

    4

    h-index

  4. RR
    Ryan R. Brady

    United States Naval Academy, United States

    3 publications · 110 citations

    3

    h-index

  5. HW
    Haiyan Wang

    Arizona State University, United States

    3 publications · 293 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. Economic Geography

    EG · 8 publications · 917 citations

    8

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  2. Geographical Analysis

    8 publications · 331 citations

    8

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  3. 7

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  4. SSRN Electronic Journal

    Repository · 7 publications · 189 citations

    7

    h-index

  5. 6

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1–5