View source: R/Diversity_Area_Relationships.R
divar  R Documentation 
Estimate diversity indices in subplots of different sizes. This includes the wellknown speciesarea and endemicsarea relationships.
divar(
comm,
prop_area = seq(0.1, 1, by = 0.1),
n_samples = 100,
exclude_zeros = TRUE
)
comm 

prop_area 
Subplot sizes as proportion of the total area (numeric) 
n_samples 
Number of randomly located subplots per subplot size (single integer) 
exclude_zeros 
Should subplots without individuals be excluded? (logical) 
Dataframe with the proportional area of the subplots and mean and standard deviation of the following diversity indices:
Number of species
Number of endemics
Shannon index
Effective number of species (ENS) based on Shannon index
Simpson index
Effective number of species (ENS) based on Simpson index
See the documentation of div_rect
for detailed information on the
definition of the diversity indices.
div_rand_rect
, div_rect
sim1 < sim_thomas_community(100, 1000)
divar1 < divar(sim1, prop_area = seq(0.01, 1.0, length = 20))
plot(divar1)
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