Deterministic Interpolation

Deterministic Interpolation is a spatial interpolation method that predicts unknown values at unsampled locations using predefined mathematical functions based solely on the spatial configuration and measured values of surrounding sample points, without incorporating probabilistic or stochastic models of spatial uncertainty.

39

Publications

2.1K

Citations

140

Authors

67

Institutions

Publications per year

2017–2026

19

Authors

140

  1. MB
    Michael Ben-Or

    Hebrew University of Jerusalem, Israel

    2 publications · 329 citations

    2

    h-index

  2. JY
    Jae Young Kim

    Seoul National University, South Korea

    1 publications · 27 citations

    1

    h-index

  3. HS
    Hamidreza Shirkhani

    National Research Council Canada, Canada

    1 publications · 20 citations

    1

    h-index

  4. OE
    Oktay Erten

    Curtin University, Australia

    1 publications · 10 citations

    1

    h-index

  5. JS
    Jörg Stelling

    ETH Zurich, Switzerland

    1 publications · 24 citations

    1

    h-index

1–5 of 140

Venues

  1. Ecological Indicators

    2 publications · 36 citations

    2

    h-index

  2. Water

    2 publications · 49 citations

    2

    h-index

  3. SIAM Journal on Numerical Analysis

    1 publications · 17 citations

    1

    h-index

  4. 1

    h-index

  5. Cartography and Geographic Information Science

    1 publications · 208 citations

    1

    h-index

1–5