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Estimate pairwise similarities of communities in subplots as function of distance
dist_decay(comm, prop_area = 0.005, n_samples = 20, method = "bray", binary = F)
community object
community
Subplot size as proportion of the total area
Number of randomly located subplots
Choice of (dis)similarity index. See vegdist
vegdist
Perform presence/absence standardization before analysis? See vegdist
Dataframe with distances between subplot pairs and the respective similarity indices
# NOT RUN { sim_com1 <- sim_thomas_community(100, 10000, sigma = 0.1, mother_points = 2) dd1 <- dist_decay(sim_com1, prop_area = 0.005, n_samples = 20) plot(dd1) # }
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