Philippe Lemey


This site is dedicated to the application of stochastic models for phylogeographic inference and visualization. For the methodology we refer to:

  1. Discrete Model: Lemey P., Rambaut A., Drummond A.J., Suchard M.A. Bayesian phylogeography finds its roots. PLoS Comput Biol. 2009 Sep;5(9):e1000520.

  2. Continuous model: Lemey P., Rambaut A., Welch J.J., Suchard M.A. Phylogeography takes a relaxed random walk in continuous space and time. Mol Biol Evol. 2010, 27(8): 1877-1885.

  3. The BEAST website:

See examples for phylogeographic visualizations in Google Earth

  1. Discrete model examples generally project a maximum clade credibility (MCC) tree onto the virtual globe based on the modal location states estimate for the ancestral nodes. Circles represent branches that maintain a particular location state

  2. Continuous model examples generally project a MCC tree with time-sliced contours from the posterior tree distribution that represent the location credibility intervals at any point in time

Funded by