Datasets illustrating the spatial Principal Component Analysis (Jombart et
al. 2009). These data were simulated using various models using Easypop
(2.0.1). Spatial coordinates were defined so that different spatial
patterns existed in the data. The spca-illus is a list containing the
following genind or genpop objects: - dat2A:
2 patches - dat2B: cline between two pop - dat2C: repulsion among
individuals from the same gene pool - dat3: cline and repulsion -
dat4: patches and local alternance
Format
spcaIllus is list of 5 components being either genind or
genpop objects.
Details
See "source" for a reference providing simulation details.
Jombart, T., Devillard, S., Dufour, A.-B. and Pontier, D. Revealing
cryptic spatial patterns in genetic variability by a new multivariate
method. Heredity, 101, 92–103.
References
Jombart, T., Devillard, S., Dufour, A.-B. and Pontier, D.
Revealing cryptic spatial patterns in genetic variability by a new
multivariate method. Heredity, 101, 92–103.
Balloux F (2001) Easypop (version 1.7): a computer program for oppulation
genetics simulations Journal of Heredity, 92: 301-302