Spatial Extremes Modeling

Spatial Extremes Modeling is a statistical framework within Bayesian spatial analysis that characterizes the distribution and dependence structure of extreme events across geographic locations, distinguished from other spatial models by its focus on rare, high-impact phenomena and their probabilistic behavior in space.

125

Publications

10.4K

Citations

235

Authors

152

Institutions

Publications per year

2017–2026

43

Authors

235

  1. AC
    A. C. Davison

    École Polytechnique Fédérale de Lausanne, Switzerland

    9 publications · 1.6K citations

    9

    h-index

  2. DC
    Daniel Cooley

    Colorado State University, United States

    9 publications · 1K citations

    9

    h-index

  3. JA
    Jonathan A. Tawn

    Lancaster University, United Kingdom

    7 publications · 701 citations

    7

    h-index

  4. RH
    Raphaël Huser

    King Abdullah University of Science and Technology, Saudi Arabia

    7 publications · 743 citations

    7

    h-index

  5. BA
    Benjamin A. Shaby

    Pennsylvania State University, United States

    6 publications · 319 citations

    6

    h-index

1–5 of 235

Venues

  1. Environmetrics

    13 publications · 410 citations

    12

    h-index

  2. 7

    h-index

  3. Extremes

    7 publications · 326 citations

    7

    h-index

  4. Water Resources Research

    7 publications · 345 citations

    7

    h-index

  5. Journal of the American Statistical Association

    7 publications · 1.2K citations

    7

    h-index

1–5