Statistical methods for genetic data in ecology: four ways to take into account spatial information, and four ways not to

Friday seminar by Gilles Guillot


All my work has been centred on the development of statistical methods for questions where the spatial locations of the sample matters, either because there is an interest in estimating parameters  related to a process that is genuinely spatial, or because spatial auto-correlation acts as a confounding effect that has to be filtered out to make accurate statistical inference. I will summarize and discuss some recent methods for the analysis of genetic data to detect population structure and quantify the contribution of heterogeneity in environmental conditions.

Gilles Guillot
PhD, Associate Professor,
Department of Applied Mathematics and Informatics,
Technical University of Denmark,
Copenhagen, Denmark.

Published Jan. 20, 2014 11:02 AM - Last modified Oct. 25, 2019 10:08 AM