fuzzySim 4.9.2-foss-2021b-R-4.2.0

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) .

Accessing fuzzySim 4.9.2-foss-2021b-R-4.2.0

To load the module for fuzzySim 4.9.2-foss-2021b-R-4.2.0 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load fuzzySim/4.9.2-foss-2021b-R-4.2.0

BEAR Apps Version

2020a

Extensions

  • fuzzySim 4.9.2
  • modEvA 3.9

More Information

For more information visit the fuzzySim website.

Dependencies

This version of fuzzySim has a direct dependency on: foss/2021b R/4.2.0-foss-2021b

Last modified on 23rd February 2023