View source: R/Diversity_Area_Relationships.R
dist_decay | R Documentation |
Estimate pairwise similarities of communities in subplots as function of distance
dist_decay(
comm,
prop_area = 0.005,
n_samples = 20,
method = "bray",
binary = FALSE
)
comm |
|
prop_area |
Subplot size as proportion of the total area |
n_samples |
Number of randomly located subplots |
method |
Choice of (dis)similarity index. See |
binary |
Perform presence/absence standardization before analysis?
See |
Object of class dist_decay
: a dataframe with distances between
subplot pairs and the respective similarity indices.
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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