Constraint-based Interpolation

Constraint-Based Interpolation is a population interpolation method that integrates ancillary spatial constraints—such as land use, infrastructure, or administrative boundaries—to guide and refine the distribution of population counts across target spatial units, thereby ensuring that interpolated estimates conform to known biophysical or sociopolitical limitations.

8

Publications

206

Citations

18

Authors

10

Institutions

Publications per year

2017–2026

2

Authors

18

  1. CK
    C. Kostov

    Schlumberger (British Virgin Islands), British Virgin Islands

    2 publications · 103 citations

    2

    h-index

  2. OD
    Olivier Dubrule

    Imperial College London, United Kingdom

    2 publications · 103 citations

    2

    h-index

  3. LL
    Lixin Li

    National University of Defense Technology, China

    1 publications · 11 citations

    1

    h-index

  4. SA
    Samsul Ariffin Abdul Karim

    Universiti Teknologi Petronas, Malaysia

    1 publications · 15 citations

    1

    h-index

  5. VS
    Václav Skala

    University of West Bohemia in Pilsen, Czechia

    1 publications · 15 citations

    1

    h-index

1–5 of 18

Venues

  1. Mathematical Geology

    2 publications · 103 citations

    2

    h-index

  2. Journal of Symbolic Computation

    1 publications · 44 citations

    1

    h-index

  3. International Conference on Digital Government Research

    Conference · 1 publications · 11 citations

    1

    h-index

  4. Conference on Decision and Control

    Conference · 1 publications · 10 citations

    1

    h-index

  5. IEEE Access

    1 publications · 15 citations

    1

    h-index

1–5