@article{strand_niehaus_2007, title={KERNELPOP, a spatially explicit population genetic simulation engine}, volume={7}, ISSN={["1471-8278"]}, DOI={10.1111/j.1471-8286.2007.01832.x}, abstractNote={Individual-based, spatially explicit models provide a mechanism to understand distributions of individuals on the landscape; however, few models have been coupled with population genetics. The primary benefits of such a combination is to assess performance of population-genetic estimators in realistic situations. kernelpop represents a flexible framework to implement almost any arbitrary population-genetic and demographic model in a spatially explicit context using a variety of dispersal kernels. Estimates of type I error associated with genome scans in metapopulations are provided as an illustration of this software's utility.}, number={6}, journal={MOLECULAR ECOLOGY NOTES}, author={Strand, Allan E. and Niehaus, James M.}, year={2007}, month={Nov}, pages={969–973} }