Trend Surface Analysis

Trend Surface Analysis is a spatial interpolation method that models geographic phenomena as a mathematical surface by fitting a polynomial function to observed data points, distinguishing itself from other interpolation techniques through its emphasis on capturing broad-scale spatial trends while filtering out local variations.

188

Publications

9.2K

Citations

441

Authors

237

Institutions

Publications per year

2017–2026

26

Authors

441

  1. NW
    Neil Wrigley

    University of Southampton, United Kingdom

    3 publications · 86 citations

    3

    h-index

  2. WC
    W. C. Krumbein

    Northwestern University, United States

    3 publications · 228 citations

    3

    h-index

  3. RA
    R. A. Cullingford

    University of Exeter, United Kingdom

    3 publications · 112 citations

    3

    h-index

  4. EH
    E. H. Timothy Whitten

    Northwestern University, United States

    3 publications · 67 citations

    3

    h-index

  5. PH
    Peter Haggett

    University of Bristol, United Kingdom

    3 publications · 45 citations

    3

    h-index

1–5 of 441

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 8 publications · 499 citations

    8

    h-index

  2. 6

    h-index

  3. Journal of Biogeography

    5 publications · 355 citations

    5

    h-index

  4. Canadian Journal of Earth Sciences

    5 publications · 137 citations

    5

    h-index

  5. 5

    h-index

1–5