fuzzySim R package - Fuzzy Similarity in Species Distributions

A set of functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence independent favorability), and pairwise fuzzy similarity. Moreover, it includes additional functions for model consensus and comparison, and for data preparation: unique abbreviations of species names, gridding (thinning) point occurrence data onto raster maps, converting species lists to presence-absence tables, transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity.