Spatial Probabilistic Forecasting

Spatial Probabilistic Forecasting is a probabilistic forecasting methodology that quantifies uncertainty in predictions across spatial domains by modeling the joint probability distribution of outcomes at multiple geographic locations.

38

Publications

1.7K

Citations

107

Authors

54

Institutions

Publications per year

2017–2026

14

Authors

107

  1. AE
    Adrian E. Raftery

    University of Washington, United States

    2 publications · 174 citations

    2

    h-index

  2. CW
    Conrad Wasko

    The University of Melbourne, Australia

    2 publications · 50 citations

    2

    h-index

  3. VJ
    Veronica J. Berrocal

    University of Michigan, United States

    2 publications · 174 citations

    2

    h-index

  4. PP
    Pierre Pinson

    Technical University of Denmark, Denmark

    2 publications · 141 citations

    2

    h-index

  5. JZ
    Jianhua Z. Huang

    Texas A&M University, United States

    1 publications · 39 citations

    1

    h-index

1–5 of 107

Venues

  1. International Journal of Forecasting

    1 publications · 42 citations

    2

    h-index

  2. 2

    h-index

  3. IEEE Transactions on Sustainable Energy

    TSTE · 1 publications · 44 citations

    2

    h-index

  4. Water Resources Research

    1 publications · 27 citations

    1

    h-index

  5. IBM Journal of Research and Development

    1 publications · 47 citations

    1

    h-index

1–5