div_rand_rect: Distribution of local diversity indices

In FelixMay/MoBspatial: Spatial Simulation and Scale-Dependent Analysis of Biodiversity Changes

Distribution of local diversity indices

Description

Get mean and standard deviation of diversity indices in several equally sized subplots of a community

Usage

div_rand_rect(prop_area = 0.25, comm, n_rect = 100, exclude_zeros = FALSE)

Arguments

prop_area	Size of subplots as proportion of the total area
comm	community object
n_rect	Number of randomly located subplots
exclude_zeros	Should subplots without individuals be excluded? (logical)

Value

Vector with mean and standard deviation of the following diversity indices:

1. Number of species

2. Number of endemics

3. Shannon index

4. Effective number of species (ENS) based on Shannon index

5. Simpson index

6. 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.

Examples

sim1 <- sim_poisson_community(100,1000)
div_rand_rect(prop_area = 0.1, comm = sim1)

FelixMay/MoBspatial documentation built on April 1, 2024, 2:18 a.m.