Generalization Assessment

Generalization Assessment is a methodological contribution in map evaluation that systematically evaluates the extent to which mapping outcomes maintain accuracy, consistency, and reliability when applied to new or unseen geographic contexts, settings, or datasets, thereby distinguishing it from other evaluation approaches focused solely on local or context-specific performance.

60

Publications

5.5K

Citations

203

Authors

95

Institutions

Publications per year

2017–2026

18

Authors

203

  1. ZC
    Zhikai Chang

    Chinese Academy of Sciences, China

    2 publications · 104 citations

    2

    h-index

  2. HZ
    Huixia Zhou

    Institute of Psychology, Chinese Academy of Sciences, China

    2 publications · 104 citations

    2

    h-index

  3. CY
    Chao‐Gan Yan

    Institute of Psychology, Chinese Academy of Sciences, China

    2 publications · 104 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. HY
    Hong Yang

    Chinese Academy of Medical Sciences & Peking Union Medical College, China

    2 publications · 104 citations

    2

    h-index

1–5 of 203

Venues

  1. Journal of Applied Behavior Analysis

    JABA · 4 publications · 3.7K citations

    4

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 53 citations

    2

    h-index

  3. 2

    h-index

  4. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 15 citations

    1

    h-index

  5. 1

    h-index

1–5