Trend Surface Interpolation

Trend Surface Interpolation is a spatial interpolation method that belongs to the class of global deterministic techniques, in which a mathematical surface is fitted to observed data points using polynomial functions of spatial coordinates to model gradual, large-scale spatial trends.

16

Publications

748

Citations

41

Authors

29

Institutions

Publications per year

2017–2026

3

Authors

41

  1. DJ
    Daniel Joly

    Centre National de la Recherche Scientifique, France

    1 publications · 38 citations

    1

    h-index

  2. RF
    René Fury

    Centre National de la Recherche Scientifique, France

    1 publications · 38 citations

    1

    h-index

  3. YL
    Yahui Li

    Henan University, China

    1 publications · 12 citations

    1

    h-index

  4. LN
    Lennart Nilsen

    UiT The Arctic University of Norway, Norway

    1 publications · 38 citations

    1

    h-index

  5. YT
    Yuxin Tian

    Chinese Research Academy of Environmental Sciences, China

    1 publications · 152 citations

    1

    h-index

1–5 of 41

Venues

  1. National Remote Sensing Bulletin

    1 publications · 12 citations

    1

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 1 publications · 21 citations

    1

    h-index

  3. Shengtaixue zazhi

    1 publications · 19 citations

    1

    h-index

  4. Transactions of the ASAE

    1 publications · 31 citations

    1

    h-index

  5. International Journal of Climatology

    1 publications · 38 citations

    1

    h-index

1–5