Spatial Assignments Using Intrinsic Markers to Infer Migratory Patterns
In ecology, it is extremely useful to model migratory connections as it can be built
upon to produce further research into organisms and the environment. However, it
can be difficult due to the high cost of tracking animals using extrinsic factors such
as tagging or electronic chips and the possibility of influencing organisms behavior
afterwards. I use a Bayesian Gaussian Process method developed in (Rundel et al.
2013) to model migratory bird connectivity patterns using intrinsic markers, allele
counts, on a spatial scope to predict breeding grounds of a genetic sample.
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