http://hdl.handle.net/10174/58 Mon, 06 Apr 2026 08:55:03 GMT 2026-04-06T08:55:03Z http://hdl.handle.net/10174/18929 Title: fuzzySim: Fuzzy similarity in species distributions Authors: Barbosa, A. Márcia Abstract: fuzzySim is an R package for calculating fuzzy similarity in species occurrence patterns. It includes functions for data preparation, such as converting species lists (long format) to presence-absence tables (wide format), obtaining unique abbreviations of species names, or transposing (parts of) complex data frames; and sample data sets for providing practical examples. It can convert binary presence-absence to fuzzy occurrence data, using e.g. trend surface analysis, inverse distance interpolation or prevalence-independent environmental favourability modelling, for multiple species simultaneously. It then calculates fuzzy similarity among (fuzzy) species distributions and/or among (fuzzy) regional species compositions. Currently available similarity indices are Jaccard, Sørensen, Simpson, and Baroni-Urbani & Buser. Thu, 01 Jan 2015 00:00:00 GMT http://hdl.handle.net/10174/18929 2015-01-01T00:00:00Z