Dasymetric Interpolation

Dasymetric Interpolation is a spatial interpolation method that refines the distribution of population within administrative units by incorporating ancillary geographic data to constrain and redistribute estimates according to observed land-use or land-cover patterns.

30

Publications

2.7K

Citations

66

Authors

43

Institutions

Publications per year

2017–2026

8

Authors

66

  1. SL
    Stefan Leyk

    University of Colorado Boulder, United States

    4 publications · 84 citations

    4

    h-index

  2. ML
    Mitchel Langford

    University of South Wales, United Kingdom

    4 publications · 493 citations

    4

    h-index

  3. RG
    Robert G. Cromley

    University of Connecticut, United States

    3 publications · 88 citations

    3

    h-index

  4. BP
    Barbara P. Buttenfield

    University of Colorado Boulder, United States

    2 publications · 48 citations

    2

    h-index

  5. TT
    Tuuli Toivonen

    University of Helsinki, Finland

    2 publications · 129 citations

    2

    h-index

1–5 of 66

Venues

  1. Cartography and Geographic Information Science

    7 publications · 1.4K citations

    7

    h-index

  2. 5

    h-index

  3. GIScience & Remote Sensing

    3 publications · 86 citations

    3

    h-index

  4. Computers Environment and Urban Systems

    2 publications · 115 citations

    2

    h-index

  5. International Journal of Remote Sensing

    2 publications · 55 citations

    2

    h-index

1–5