Topographic Interpolation

Topographic Interpolation is a spatial prediction method that estimates elevation values at unsampled locations based on known topographic point measurements, distinguishing itself by incorporating terrain-specific spatial autocorrelation and geometric constraints to generate continuous digital elevation models.

66

Publications

7.7K

Citations

179

Authors

116

Institutions

Publications per year

2017–2026

15

Authors

179

  1. CD
    Christopher Daly

    Oregon State University, United States

    4 publications · 3.8K citations

    4

    h-index

  2. RL
    Rafael L. Bras

    Massachusetts Institute of Technology, United States

    2 publications · 48 citations

    2

    h-index

  3. MF
    Michael F. Hutchinson

    Australian National University, Australia

    2 publications · 65 citations

    2

    h-index

  4. CC
    Chuanfa Chen

    Shandong University of Science and Technology, China

    2 publications · 54 citations

    2

    h-index

  5. DB
    David B. Kidner

    University of South Wales, United Kingdom

    2 publications · 118 citations

    2

    h-index

1–5 of 179

Venues

  1. International Journal of Climatology

    5 publications · 3.9K citations

    5

    h-index

  2. Computers & Geosciences

    CAGEO · 3 publications · 145 citations

    3

    h-index

  3. 2

    h-index

  4. 2

    h-index

  5. Journal of Geodesy

    2 publications · 97 citations

    2

    h-index

1–5