Surface Generalization

Surface Generalization is a methodological process in geospatial analysis that reduces the complexity of a Digital Surface Model by selectively simplifying its geometric representation while preserving essential topographic characteristics.

15

Publications

674

Citations

24

Authors

15

Institutions

Publications per year

2017–2026

2

Authors

24

  1. RT
    Robert Tibshirani

    Stanford University, United States

    2 publications · 150 citations

    2

    h-index

  2. ML
    Michael LeBlanc

    Fred Hutch Cancer Center, United States

    2 publications · 150 citations

    2

    h-index

  3. FT
    F. Talay Akyıldız

    University of Central Florida, United States

    1 publications · 66 citations

    1

    h-index

  4. VD
    Vladimir Dragović

    Mathematical Institute of the Serbian Academy of Sciences and Arts

    1 publications · 26 citations

    1

    h-index

  5. HM
    Harold Moellering

    The Ohio State University, United States

    1 publications · 33 citations

    1

    h-index

1–5 of 24

Venues

  1. 2

    h-index

  2. IEEE Visualization

    Conference · 1 publications · 14 citations

    1

    h-index

  3. Geophysical Prospecting

    1 publications · 23 citations

    1

    h-index

  4. Wear

    1 publications · 42 citations

    1

    h-index

  5. The Journal of Physical Chemistry A

    1 publications · 191 citations

    1

    h-index

1–5