Ensemble Spatial Prediction

Ensemble Spatial Prediction is a spatial prediction framework that integrates multiple individual predictive models or algorithms to generate a more accurate, robust, and uncertainty-aware spatial inference than any single constituent model.

56

Publications

5.1K

Citations

285

Authors

171

Institutions

Publications per year

2017–2026

46

Authors

285

  1. YL
    Yang Liu

    Emory University, United States

    3 publications · 458 citations

    3

    h-index

  2. HH
    Howard H. Chang

    Emory University, United States

    3 publications · 458 citations

    3

    h-index

  3. GG
    Guannan Geng

    Tsinghua University, China

    2 publications · 405 citations

    2

    h-index

  4. FR
    Forrest R. Stevens

    University of Louisville, United States

    2 publications · 273 citations

    2

    h-index

  5. MG
    Mário Guevara

    University of Delaware, United States

    2 publications · 39 citations

    2

    h-index

1–5 of 285

Venues

  1. Remote Sensing

    4 publications · 418 citations

    4

    h-index

  2. Environmental Monitoring and Assessment

    2 publications · 96 citations

    2

    h-index

  3. Artificial Intelligence in Geosciences

    2 publications · 40 citations

    2

    h-index

  4. 2

    h-index

  5. PLoS ONE

    2 publications · 49 citations

    2

    h-index

1–5