Genetic sample information is aggregated across years for use use by a boundary-
setting algorithm (BSA). This function will likely be used only by those developing a BSA.
agg.gs |
Genetic samples (alleles at all loci for all individuals sampled) aggregated across sampling polygons for each genetic sampling year (list of length == number of sampling polygons, each list element containing an array of dimension (gs.years*n.samples) X n.loci X 2. |
agg.gs.gtypes |
Identical to agg.gs except the format for agg.gs.gtypes is slightly different,
with each list element comprised of a matrix of dimension (gs.years*n.samples) X (n.haploid.loci+2*n.diploid.loci). |
n.loci |
The number of loci used in the current simulation (numeric vector of length == 1). |
n.areas |
The number of sampling polygons in the current simulation (numeric vector of length == 1). |
n.alleles |
the number of alleles that have occurred over the entire simulation at each locus in each sampling polygon (vector of length equal to number of loci). |
coords |
Individual ID, birth year and spatial coordinates for all individuals sampled in a sample.poly |