Multivariate Surface Interpolation

Multivariate Surface Interpolation is a mathematical technique within the broader class of surface interpolation methods that specifically reconstructs a continuous surface over a multidimensional domain by estimating values at unobserved points based on the spatial relationships among multiple input variables.

13

Publications

1.5K

Citations

33

Authors

18

Institutions

Publications per year

2017–2026

0

Authors

33

  1. MA
    Michael A. Pedder

    University of Reading, United Kingdom

    1 publications · 100 citations

    1

    h-index

  2. JF
    Julia Flötotto

    Fondation Sophia Antipolis, France

    1 publications · 12 citations

    1

    h-index

  3. JS
    John S. Woollen

    NOAA National Centers for Environmental Prediction, United States

    1 publications · 54 citations

    1

    h-index

  4. SE
    Sarah E. Stead

    Ames Research Center, United States

    1 publications · 36 citations

    1

    h-index

  5. SG
    Stanley G. Benjamin

    NOAA Earth System Research Laboratory, United States

    1 publications · 42 citations

    1

    h-index

1–5 of 33

Venues

  1. Rocky Mountain Journal of Mathematics

    2 publications · 53 citations

    2

    h-index

  2. Monthly Weather Review

    2 publications · 96 citations

    2

    h-index

  3. Computers & Geosciences

    CAGEO · 2 publications · 689 citations

    2

    h-index

  4. 1

    h-index

  5. SIAM Journal on Numerical Analysis

    1 publications · 19 citations

    1

    h-index

1–5