Geographic Inference

Geographic Inference is a computational method that derives unknown or implicit geographic characteristics, relationships, or patterns from spatially referenced data by leveraging explicit spatial dependencies, contextual cues, and statistical or machine learning models.

27

Publications

1.4K

Citations

62

Authors

42

Institutions

Publications per year

2017–2026

6

Variants

Spatial Inference

Authors

62

  1. AF
    Alinda Friedman

    University of Alberta, Canada

    2 publications · 170 citations

    2

    h-index

  2. NB
    Norman Brown

    University of Pennsylvania, United States

    2 publications · 170 citations

    2

    h-index

  3. AE
    Alan E. Gelfand

    Duke University, United States

    2 publications · 62 citations

    2

    h-index

  4. SB
    Sudipto Banerjee

    University of Minnesota, United States

    2 publications · 62 citations

    2

    h-index

  5. CM
    Connor McMahon

    Carnegie Mellon University, United States

    1 publications · 59 citations

    1

    h-index

1–5 of 62

Venues

  1. The Professional Geographer

    2 publications · 33 citations

    2

    h-index

  2. Journal of Experimental Psychology General

    2 publications · 170 citations

    2

    h-index

  3. 2

    h-index

  4. Journal of Drug Policy Analysis

    1 publications · 24 citations

    1

    h-index

  5. Synthese

    1 publications · 18 citations

    1

    h-index

1–5