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  1. 28 lis 2019 · Evaluating Fit of EEMS and PCA to Genetic Distances. For EEMS, the posterior samples imply an expected distance matrix between populations. For PCA, the components and their loadings provide an approximation to the genetic distance matrix between individuals.

  2. 7 sie 2017 · The distance-matrix method we used 18 for this purpose is designed to identify the classification topology that approximates the distance matrix the closest, so that the length of the...

  3. 7 mar 2018 · Partial Mantel tests are the most common analytical method in landscape genetics. Mantel tests examine the correlation between a matrix of pairwise genetic distances and a matrix of spatial distances.

  4. 12 sie 2016 · When moving from one region to another, humans are exposed to a variety of potential pathogens and also serve as part of the global dispersal process. 1 Microbes picked up at one time and in one place may manifest in disease (and potentially be transmitted) far away in time and place.

  5. 28 lut 2017 · Examples are provided of how GIS, remotely sensed imagery, spatial data, and statistical models can provide insight into the reasons for heterogeneity of vector-borne disease. A suite of examples includes Lyme disease, malaria, trypanosomiasis, eastern equine encephalitis, and LaCrosse encephalitis. Find this resource: Google Preview» WorldCat»

  6. In the fields of phylogeography and landscape genetics, biologists attempt to detect patterns in the distribution of genetic variation across different spatial scales. The most commonly known process is isolation by distance (IBD), under which genetic similarity decreases with geographic distance.

  7. 2 sie 2018 · Overall, we calculate and compare measures of resistance distances based on idealized, historical, and contemporary forest composition to provide a more rigorous assessment of the effects of landscape structure on genetic differentiation patterns in Northern Spotted Owls.