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Statistical methods in spatial genetics
Author(s) -
GUILLOT GILLES,
LEBLOIS RAPHAËL,
COULON AURÉLIE,
FRANTZ ALAIN C.
Publication year - 2009
Publication title -
molecular ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.619
H-Index - 225
eISSN - 1365-294X
pISSN - 0962-1083
DOI - 10.1111/j.1365-294x.2009.04410.x
Subject(s) - toolbox , biology , statistical genetics , data science , genetic data , population genetics , population , focus (optics) , management science , evolutionary biology , computer science , genomics , genetics , demography , sociology , engineering , physics , genome , optics , gene , programming language
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.