Landscape Genomics team publishes wingen in Methods in Ecology and Evolution

Figure 1. Schematic of moving window calculations and the outputs produced by the window_gd function: genetic diversity and sample count rasters. The number of individuals within the window used for the calculation is counted and assigned to the focal cell on the sample count raster. Bishop, A. P., Chambers, E. A., & Wang, I. J. (2023)

The CCGP’s Landscape Genomics team, Anusha Bishop, Anne Chambers, and Ian Wang, recently published an article titled “Generating continuous maps of genetic diversity using moving windows” in the journal Methods in Ecology and Evolution. It describes a novel r package they developed called wingen that can be used for calculating continuous maps of genetic diversity, including nucleotide diversity, allelic richness, and heterozygosity, from standard genotypic and spatial data using a spatial moving window approach.