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An opinion paper by William E. Peterman of The Ohio State University outlines appropriate and inappropriate uses of multiple regression models in landscape genetic analyses. The paper critiques the prevalent practice of using independent effective distance variables to explain genetic differences and advocates for univariate modeling approaches. It highlights statistical challenges like suppression and discusses ongoing advances in modeling genetic covariance with landscape variables.
This entry from paperswithcode is primarily a methodological paper; associated data files, formats, and size are unknown.