Measurement of Biodiversity

Documentation for package ‘mobr’ version 2.0.2

avg_nn_dist	Compute average nearest neighbor distance
calc_biodiv	Calculate biodiversity statistics from sites by species table.
calc_chao1	Estimation of species richness
calc_PIE	Calculate probability of interspecific encounter (PIE)
compare_samp_rarefaction	Compare all sample-based curves (random, spatially constrained-k-NN, spatially constrained-k-NCN)
fire_comm	Fire data set
fire_plot_attr	Fire data set
get_delta_stats	Conduct the MoB tests on drivers of biodiversity across scales.
get_mob_stats	Calculate sample based and group based biodiversity statistics.
get_null_comm	Generate a null community matrix
inv_comm	Invasive plants dataset
inv_plot_attr	Invasive plants dataset
kNCN_average	Construct spatially constrained sample-based rarefaction (sSBR) curve using the k-Nearest-Centroid-neighbor (k-NCN) algorithm
make_mob_in	Create the 'mob_in' object.
mobr	Measurement of Biodiversity in R
plot.mob_out	Plot the multiscale MoB analysis output generated by 'get_delta_stats'.
plot.mob_stats	Plot alpha- and gamma-scale biodiversity statistics for a MoB analysis
plot_abu	Plot distributions of species abundance
plot_N	Plot the relationship between the number of plots and the number of individuals
plot_rarefaction	Plot rarefaction curves for each treatment group
rarefaction	Rarefied Species Richness
subset.mob_in	Subset the rows of the mob data input object
tank_comm	Cattle tank data set
tank_plot_attr	Cattle tank data set