fuzzySim: Fuzzy similarity in species distributions
Data(s) |
07/09/2016
07/09/2016
2015
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Resumo |
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. |
Identificador |
Barbosa A.M. (2015) fuzzySim: Fuzzy similarity in species distributions. R package version 1.3. Available at: http://R-Forge.R-project.org/projects/fuzzysim. http://fuzzysim.r-forge.r-project.org/ http://hdl.handle.net/10174/18929 barbosa@uevora.pt 221 |
Idioma(s) |
eng |
Direitos |
openAccess |
Palavras-Chave | #similarity #species distribution modelling #biogeographic regions #fuzzy logic |
Tipo |
report |