fuzzySim: Fuzzy Similarity in Species Distributions

Functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence-independent favourability obtained from probability of presence), as well as pair-wise 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 presence-absence 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:10.1111/2041-210X.12372>.

Package details

AuthorBarbosa A.M.
MaintainerA. Marcia Barbosa <ana.marcia.barbosa@gmail.com>
URL fuzzysim.r-forge.r-project.org https://CRAN.R-project.org/package=fuzzySim
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the fuzzySim package in your browser

Any scripts or data that you put into this service are public.

fuzzySim documentation built on Oct. 31, 2022, 1:07 a.m.