Multiscale Interpolation

Multiscale Interpolation is a spatial interpolation method that integrates data and variability across multiple spatial scales to improve prediction accuracy by accounting for scale-dependent patterns and processes in the underlying spatial field.

32

Publications

1.3K

Citations

88

Authors

64

Institutions

Publications per year

2017–2026

9

Authors

88

  1. JE
    John E. Lavery

    North Carolina State University, United States

    3 publications · 122 citations

    3

    h-index

  2. QC
    Qiuming Cheng

    China University of Geosciences (Beijing), China

    2 publications · 99 citations

    2

    h-index

  3. RS
    Robert Schaback

    University of Göttingen, Germany

    2 publications · 41 citations

    2

    h-index

  4. YE
    Yalchin Efendiev

    Texas A&M University, United States

    2 publications · 113 citations

    2

    h-index

  5. MR
    M. Rossini

    University of Milano-Bicocca, Italy

    2 publications · 41 citations

    2

    h-index

1–5 of 88

Venues

  1. Journal of Computational Physics

    3 publications · 136 citations

    3

    h-index

  2. Computer Aided Geometric Design

    3 publications · 122 citations

    3

    h-index

  3. IMA Journal of Numerical Analysis

    2 publications · 31 citations

    2

    h-index

  4. IEEE Transactions on Image Processing

    2 publications · 142 citations

    2

    h-index

  5. CALCOLO

    2 publications · 41 citations

    2

    h-index

1–5