Beta diversity among multiple communities.
Beta diversity (Taxon, Phylogenetic or Functional Diversity - TD, PD, FD).
Gamma diversity (Taxon, Phylogenetic or Functional Diversity - TD, PD, FD).
Beta diversity partitioning using convex hull hypervolumes.
Alpha diversity using kernel density hypervolumes.
Contribution of species or individuals to total phylogenetic/functional diversity.
Beta diversity accumulation curves.
kernel.evenness.contribution
Contribution of each observation to the evenness of a kernel density hypervolume.
Gower distance.
Pairwise similarity among kernel density hypervolumes.
Build hyperspace.
Dummify variables.
Efficiency statistics for alpha-sampling.
Interspecific abundance-occupancy relationship (IAOR).
Quality of hyperspace.
Build convex hull hypervolumes.
Create Linnean tree.
Beta diversity partitioning using kernel density hypervolumes.
Phylogenetic/functional originality of species or individuals.
Scaled mean squared error of accumulation curves.
Taxonomic/phylogenetic/functional evenness of species or individuals.
Gamma diversity using kernel density hypervolumes.
Optimization of beta diversity sampling protocols.
Taxonomic tree for 338 species of spiders (surrogate for phylogeny)
Community Weighted Evenness.
Functional originality of observations in kernel density hypervolumes.
Community Weighted Mean.
Simulation of species abundance distributions (SAD).
Simulation of sampling from artificial communities.
Akaike Information Criterion.
Convert negative branches of tree.
Community Weighted Dispersion.
Sample data of spiders in Geres (Portugal)
Alpha diversity (Taxon, Phylogenetic or Functional Diversity - TD, PD, FD).
Standardize variables.
General dynamic model of oceanic island biogeography (GDM).
Contribution of each observation to the kernel density hypervolume.
Species-abundance distribution (SAD) using convex hulls.
Hill numbers.
Sample data of spiders in Arrabida (Portugal)
Alpha diversity estimates.
Gamma diversity using convex hull hypervolumes.
Alpha diversity accumulation curves (observed and estimated).
Coverage of datasets.
Phylogenetic/functional uniqueness of species.
Alpha diversity using convex hull hypervolumes.
Functional dispersion of kernel density hypervolumes.
Species-area relationship (SAR).
Species-abundance distribution (SAD).
Simulation of species spatial distributions.
Sample data of spiders in Guadiana (Portugal)
Functional beta diversity evenness using kernel density hypervolumes.
Maps of alpha diversity (Taxon, Phylogenetic or Functional Diversity - TD, PD, FD).
Build kernel hypervolumes.
Hotspots in hypervolumes.
Slope of accumulation curves.
Functional evenness of kernel density hypervolumes.
Mixture model.
Optimization of alpha diversity sampling protocols.
Efficiency statistics for beta-sampling.
Model R2.
Functional tree for 338 species of spiders
Phylogenetic/functional dispersion of species or individuals.
Plots of simulated species spatial distributions.
Simulation of phylogenetic or functional tree.
Optimization of spatial sampling.
Standard Effect Size.
Maps of beta diversity (Taxon, Phylogenetic or Functional Diversity - TD, PD, FD).
Contribution of each observation to a convex hull hypervolume.
Species-abundance distribution (SAD) using kernel density hypervolumes.
Build functional tree.
Rao quadratic entropy.
Maps of phylogenetic/functional dispersion of species or individuals.
Quality of tree.
Maps of phylogenetic/functional evenness of species or individuals.
Beta diversity evenness (Taxon, Phylogenetic or Functional Diversity - TD, PD, FD).
Contribution of each species or individual to the total taxonomic/phylogenetic/functional evenness.
Filling missing data.