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fuzzySim  

Fuzzy Similarity in Species Distributions
View on CRAN: Click here


Download and install fuzzySim package within the R console
Install from CRAN:
install.packages("fuzzySim")

Install from Github:
library("remotes")
install_github("cran/fuzzySim")

Install by package version:
library("remotes")
install_version("fuzzySim", "4.46")



Attach the package and use:
library("fuzzySim")
Maintained by
A. Marcia Barbosa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-19
Latest Update: 2025-03-21
Description:
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, cleaning and gridding (thinning) point occurrence data onto raster maps, selecting absences under specified criteria, 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) .
How to cite:
A. Marcia Barbosa (2018). fuzzySim: Fuzzy Similarity in Species Distributions. R package version 4.46, https://cran.r-project.org/web/packages/fuzzySim. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-08-28 14:10), 2.0 (2018-12-19 00:11), 3.0 (2020-02-04 16:00), 3.7 (2022-01-21 18:52), 4.0 (2022-05-03 00:52), 4.3 (2022-06-01 11:50), 4.9.2 (2022-10-30 22:00), 4.9.8 (2023-03-06 22:40), 4.9.9 (2023-04-14 19:20), 4.10.5 (2023-10-09 16:10), 4.10.7 (2024-01-24 17:30), 4.26 (2024-10-30 09:20), 4.29 (2024-12-13 18:30), 4.33 (2025-03-21 19:10), 4.34 (2025-09-08 09:20), 4.36 (2025-09-27 01:50), 4.38 (2025-10-14 07:10), 4.46 (2026-01-08 07:11), 4.48 (2026-02-17 07:10), 4.50 (2026-03-28 07:11), 4.54 (2026-05-21 16:00)
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