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Title: fuzzySim: Fuzzy Similarity in Species Distributions, v1.7
Authors: Barbosa, A. Márcia
Keywords: fuzzy logic
species occurrence
species ranges
species distribution modelling
generalized linear models
favourability function
variable selection
Issue Date: 2016
Publisher: R-Forge
Citation: Barbosa A.M. (2016) fuzzySim: Fuzzy similarity in species distributions. R package version 1.7.8.
Abstract: This package contains functions to calculate fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis and prevalence-independent favourability GLM), and pair-wise fuzzy similarity (based on fuzzy versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model comparison (overlap and fuzzy similarity, loss or gain), and for data preparation, such as obtaining unique abbreviations of species names, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, assessing the false discovery rate, or analysing and dealing with multicollinearity among variables. Includes also sample datasets for providing practical examples.
Type: other
Appears in Collections:CIBIO-UE - Aplicações Computacionais

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fuzzySim_1.7.6.zipPackage source files (zip format, for Windows)169.16 kBZipView/Open
fuzzySim_1.7.6.tar.gzPackage source files (tar.gz format, for Linux and MacOS)80.93 kBtar gzip (Unix)View/Open
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