Bioinformatics (2021), https://doi.org/10.1093/bioinformatics/btab261 Following the original publication of this article, the Editors became aware that one of authors included on the title page was “Camille Noûs”, a name that represents the research community as a whole but is not a real person and thus does not qualify for authorship. This correction notice serves to inform readers that the name has since been removed.

MOTIVATION: Simulation-based inference can bypass the limitations of statistical methods based on analytical approximations, but software allowing simulation of structured population genetic data without the classical n-coalescent approximations (such as those following from assuming large population size) are scarce or slow. RESULTS: We present GSpace, a simulator for genomic data, based on a generation-by-generation coalescence algorithm taking into account small population size, recombination and isolation by distance. AVAILABILITY AND IMPLEMENTATION: Freely available at site web INRAe (http://www1.montpellier.inra.fr/CBGP/software/gspace/download.html).