Abstract:The field of landscape genetics enables the study of infectious disease dynamics by connecting the landscape features with evolutionary changes. Quantifying genetic correlation across space is helpful in providing insight into the rate of spread of an infectious disease. We investigate two genetic patterns in spatially referenced singlenucleotide polymorphisms (SNPs): isolation by distance and isolation by resistance.We model the data using a Generalized Linear Mixed effect Model (GLMM) with spatially referenc… Show more
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