Function to calculate dispersal distances based on cost distances
converts cost distances to probabilities: to reach a certain patch[ d0 average distance of p of all individuals, for example d0=100, p =0.5 -> 50% procent of all migrating individuals go up to 100 m.
p2p(x, d0, p)
x |
Cost (Euclidean) distance matrix |
d0 |
dispersal distance |
p |
of all individuals in a population |
a dispersal probability matrix
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