Data from: Sampling strategy optimization to increase statistical power in landscape genomics: a simulation-based approach
Oliver Selmoni, Elia Vajana, Annie Guillaume, Estelle Rochat & Stéphane Joost
An increasing number of studies are using landscape genomics to investigate local adaptation in wild and domestic populations. The implementation of this approach requires the sampling phase to consider the complexity of environmental settings and the burden of logistic constraints. These important aspects are often underestimated in the literature dedicated to sampling strategies. In this study, we computed simulated genomic datasets to run against actual environmental data in order to trial landscape genomics experiments under...
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