Population Surface Modeling

Population Surface Modeling is a geospatial modeling technique that generates continuous representations of population distribution by interpolating demographic data across geographic space using spatially explicit covariates and statistical or machine learning methods.

22

Publications

1.8K

Citations

41

Authors

36

Institutions

Publications per year

2017–2026

2

Authors

41

  1. DM
    David Martín

    University of Southampton, United Kingdom

    5 publications · 405 citations

    5

    h-index

  2. IB
    Ian Bracken

    University of Wales, United Kingdom

    4 publications · 186 citations

    4

    h-index

  3. AM
    Abdisalan M. Noor

    Kenya Medical Research Institute, Kenya

    2 publications · 246 citations

    2

    h-index

  4. PJ
    Peng Jia

    University of Twente, Netherlands

    2 publications · 100 citations

    2

    h-index

  5. JL
    Jun Luo

    Chinese Academy of Sciences, China

    1 publications · 33 citations

    1

    h-index

1–5 of 41

Venues

  1. Environment and Planning A Economy and Space

    2 publications · 151 citations

    2

    h-index

  2. 2

    h-index

  3. Remote Sensing

    1 publications · 15 citations

    1

    h-index

  4. The Open Geography Journal

    1 publications · 17 citations

    1

    h-index

  5. Malaria Journal

    1 publications · 75 citations

    1

    h-index

1–5