Map Generalization Assessment

Map Generalization Assessment is a systematic method used in geographic information science to evaluate the accuracy and reliability of generalized yield maps by quantifying the spatial and thematic distortions introduced during the generalization process.

13

Publications

470

Citations

33

Authors

14

Institutions

Publications per year

2017–2026

1

Authors

33

  1. NR
    Nicolas Regnauld

    University of Edinburgh, United Kingdom

    2 publications · 99 citations

    2

    h-index

  2. ZL
    Zhilin Li

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 37 citations

    2

    h-index

  3. JS
    Jantien Stoter

    Delft University of Technology, Netherlands

    2 publications · 129 citations

    2

    h-index

  4. GT
    Guillaume Touya

    Institut national de l’information géographique et forestière, France

    2 publications · 94 citations

    2

    h-index

  5. PA
    Petteri Alho

    University of Turku, Finland

    1 publications · 66 citations

    1

    h-index

1–5 of 33

Venues

  1. Computers Environment and Urban Systems

    2 publications · 99 citations

    2

    h-index

  2. Geocarto International

    2 publications · 37 citations

    2

    h-index

  3. 1

    h-index

  4. Landscape Research

    1 publications · 66 citations

    1

    h-index

  5. 1

    h-index

1–5