Generalization Quality Assessment

Generalization Quality Assessment is a systematic evaluation framework within cartographic generalization that quantifies the fidelity and effectiveness of generalized map representations relative to their source data and intended purpose, distinguishing itself by its focus on measuring spatial accuracy, semantic consistency, and visual quality across transformation processes.

22

Publications

819

Citations

72

Authors

41

Institutions

Publications per year

2017–2026

8

Authors

72

  1. GT
    Guillaume Touya

    Institut national de l’information géographique et forestière, France

    4 publications · 158 citations

    4

    h-index

  2. JS
    Jantien Stoter

    Delft University of Technology, Netherlands

    3 publications · 207 citations

    3

    h-index

  3. MI
    M. I. Katsnelson

    Radboud University Nijmegen, Netherlands

    1 publications · 146 citations

    1

    h-index

  4. BL
    Brejesh Lall

    Indian Institute of Technology Delhi, India

    1 publications · 51 citations

    1

    h-index

  5. CH
    Charlotte Hoarau

    Institut national de l’information géographique et forestière, France

    1 publications · 27 citations

    1

    h-index

1–5 of 72

Venues

  1. 3

    h-index

  2. 2

    h-index

  3. 1

    h-index

  4. Journal of Spatial Information Science

    JOSIS · 1 publications · 12 citations

    1

    h-index

  5. Geographical Analysis

    1 publications · 52 citations

    1

    h-index

1–5