Hypervolume Plots
All plots and legends are taken directly from my MSci project
Email: frm20rbz@bangor.ac.uk
Movement data of two species, European shag (Gulosus aristotelis) and common guillemot (Uria aalge), inhabiting Puffin Island, North Wales. GPS data was acquired from biologging tags attached to nesting individuals of each colony.
Left: Estimated two-dimensional hypervolume of the species’ foraging distribution using a Guassian KDE approach. Coloured points represent stochastic description of each hypervolume.
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Right: Estimated seven-dimension hypervolume for two sympatric seabird species around Puffin Island, North Wales, using a support vector machine (SVM) approach. All seven variables have been log10-transformed.
Estimated seven-dimension hypervolume of the intersect between two sympatric seabird species (the European shag, Gulosus aristotelis, and the common guillemot, Uria aalge) using a support vector machine (SVM) approach. All seven variables have been log10-transformed. Coloured points represent stochastic description of each hypervolume.
Gulosus aristotelis holes analysis
The observation hypervolume (blue) is the original hypervolume of each species, estimated using a support vector machine (SVM) approach; the expectation (red) is derived from the random points of the observation hypervolume and represents a convex geometry. All variables have been log10-transformed. Coloured points represent stochastic description of each hypervolume. Holes would have appeared as yellow contours, but none were present.
Uria aalge holes analysis
The observation hypervolume (blue) is the original hypervolume of each species, estimated using a support vector machine (SVM) approach; the expectation (red) is derived from the random points of the observation hypervolume and represents a convex geometry. All variables have been log10-transformed. Coloured points represent stochastic description of each hypervolume. Holes would have appeared as yellow contours, but none were present.