Functions to compute fuzzy versions of species occurrence patterns based on presenceabsence data (including inverse distance interpolation, trend surface analysis, and prevalenceindependent favourability obtained from probability of presence), as well as pairwise fuzzy similarity (based on fuzzy logic versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model consensus and comparison (overlap and fuzzy similarity, loss or gain), and for data preparation, such as obtaining unique abbreviations of species names, gridding (thinning) point occurrence data onto raster maps, converting species lists (long format) to presenceabsence tables (wide format), transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity. Initially described in Barbosa (2015) <doi:10.1111/2041210X.12372>.
Package details 


Author  Barbosa A.M. 
Maintainer  A. Marcia Barbosa <ana.marcia.barbosa@gmail.com> 
License  GPL3 
Version  4.9.2 
URL  fuzzysim.rforge.rproject.org https://CRAN.Rproject.org/package=fuzzySim 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.