title: Statistical methods in spatial genetics.
abstract: The joint analysis of spatial and genetic data is rapidly becoming the norm in population genetics. More and more studies explicitly describe and quantify the spatial organization of genetic variation and try to relate it to underlying ecological processes. As it has become increasingly difficult to keep abreast with the latest methodological developments, we review the statistical toolbox available to analyse population genetic data in a spatially explicit framework. We mostly focus on statistical concepts but also discuss practical aspects of the analytical methods, highlighting not only the potential of various approaches but also methodological pitfalls.
authors.affiliation: Department of Informatics and Mathematical Modelling, Technical University of Denmark, Copenhagen, Denmark. gigu@imm.dtu.dk
authors.forename: Gilles
authors.initials: G
authors.lastname: Guillot
authors.forename: Raphaël
authors.initials: R
authors.lastname: Leblois
authors.forename: Aurélie
authors.initials: A
authors.lastname: Coulon
authors.forename: Alain C
authors.initials: AC
authors.lastname: Frantz
mesh_terms: D016000:Cluster Analysis; D014644:Genetic Variation; D005828:Genetics, Population; D008957:Models, Genetic; D015233:Models, Statistical