Geospatial Population Interpolation

Geospatial Population Interpolation is a geospatial modeling technique that estimates population distributions across continuous geographic space by assigning population counts to spatial units or locations based on spatially referenced auxiliary data and statistical or machine learning methods.

23

Publications

2.3K

Citations

41

Authors

30

Institutions

Publications per year

2017–2026

1

Authors

41

  1. WT
    Waldo Tobler

    University of California, Santa Barbara, United States

    5 publications · 965 citations

    5

    h-index

  2. PK
    Phaedon Kyriakidis

    University of California, Santa Barbara, United States

    2 publications · 149 citations

    2

    h-index

  3. KM
    Kelly Maloy

    United Nations, United States

    2 publications · 169 citations

    2

    h-index

  4. ML
    Mitchel Langford

    University of South Wales, United Kingdom

    2 publications · 301 citations

    2

    h-index

  5. JG
    Jon Gottsegen

    University of California, Santa Barbara, United States

    2 publications · 169 citations

    2

    h-index

1–5 of 41

Venues

  1. Environment and Planning A Economy and Space

    3 publications · 368 citations

    3

    h-index

  2. International Journal of Population Geography

    IJPG · 2 publications · 169 citations

    2

    h-index

  3. 2

    h-index

  4. 2

    h-index

  5. GIScience & Remote Sensing

    2 publications · 57 citations

    2

    h-index

1–5