Scale-dependent Representation

Scale-Dependent Representation is a cartographic generalization method that systematically alters the geometric, semantic, or symbolic depiction of spatial features based on the map scale to maintain representational accuracy and readability across varying levels of detail.

88

Publications

6.5K

Citations

206

Authors

136

Institutions

Publications per year

2017–2026

14

Authors

206

  1. TL
    Tony Lindeberg

    KTH Royal Institute of Technology, Sweden

    4 publications · 1.2K citations

    4

    h-index

  2. BP
    Barbara P. Buttenfield

    University of Colorado Boulder, United States

    3 publications · 130 citations

    3

    h-index

  3. LS
    Ling Shao

    Inception Institute of Artificial Intelligence, United Arab Emirates

    2 publications · 198 citations

    2

    h-index

  4. PH
    Peter Hancock

    University of Stirling, United Kingdom

    2 publications · 291 citations

    2

    h-index

  5. HY
    Haowen Yan

    Lanzhou Jiaotong University, China

    2 publications · 38 citations

    2

    h-index

1–5 of 206

Venues

  1. The American Cartographer

    4 publications · 83 citations

    4

    h-index

  2. Cartography and Geographic Information Science

    4 publications · 178 citations

    4

    h-index

  3. 4

    h-index

  4. Computer Graphics Forum

    3 publications · 119 citations

    3

    h-index

  5. The Cartographic Journal

    3 publications · 301 citations

    3

    h-index

1–5