Bayesian Biogeography

Bayesian Biogeography is a statistical framework within historical biogeography that employs Bayesian inference to estimate the probabilistic relationships between species distributions and geological or climatic events, incorporating prior knowledge and uncertainty in reconstructing biogeographic histories.

48

Publications

3.8K

Citations

204

Authors

133

Institutions

Publications per year

2017–2026

14

Authors

204

  1. NJ
    Nicholas J. Matzke

    University of Auckland, New Zealand

    3 publications · 1.3K citations

    3

    h-index

  2. HH
    Harri Högmander

    University of Jyväskylä, Finland

    2 publications · 125 citations

    2

    h-index

  3. GB
    George B. Arhonditsis

    University of Toronto, Canada

    2 publications · 35 citations

    2

    h-index

  4. FA
    Francisco Alcaraz

    Universidad de Murcia, Spain

    1 publications · 12 citations

    1

    h-index

  5. DB
    Duncan Boyd

    Ministry of the Environment, Conservation and Parks, Canada

    1 publications · 18 citations

    1

    h-index

1–5 of 204

Venues

  1. Ecological Modelling

    5 publications · 364 citations

    5

    h-index

  2. Journal of Biogeography

    4 publications · 419 citations

    4

    h-index

  3. Biology Letters

    2 publications · 192 citations

    2

    h-index

  4. Quaternary Science Reviews

    2 publications · 623 citations

    2

    h-index

  5. Molecular Phylogenetics and Evolution

    2 publications · 125 citations

    2

    h-index

1–5