Please use this identifier to cite or link to this item:

Title: fuzzySim: Fuzzy similarity in species distributions
Authors: Barbosa, A. Márcia
Keywords: similarity
species distribution modelling
biogeographic regions
fuzzy logic
Issue Date: 2015
Citation: Barbosa A.M. (2015) fuzzySim: Fuzzy similarity in species distributions. R package version 1.3. Available at:
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.
Type: report
Appears in Collections:CIBIO-UE - Relatórios

Files in This Item:

File Description SizeFormat
fuzzySim_1.3.tar.gz80.66 kBcompressed R packageView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois