sGD provides spatially explicit estimates of genetic diversity indices and Wright's neighborhood size in continuous populations isolated by distance or resistance as described in Shirk & Cushman 2014. Inputs include a set of spatially referenced codominant marker genotypes, a matrix of pairwise distances between all sampled individuals (either in Euclidean units or as effective distances quantified by methods such as least-cost-path or circuit theory), and several parameters, including the minimum neighborhood size and the neighborhood radius (specified in Euclidean or effective distances). sGD defines a local neighborhood extent (based on a user-specified radius) around each sample location, and then calculates genetic diversity indices and/or Wright's neighborhood size (a local measure of effective population size that accounts for the continuous structure of populations isolated by distance). Requires the NeEstimator program (version 2.01) available at http://molecularfisherieslaboratory.com.au/neestimator-software.
|Maintainer||Andrew Shirk <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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