@article{fdi:010071870,
  title = {{SSDM} : an {R} package to predict distribution of species richness and composition based on stacked species distribution models},
  author = {{S}chmitt, {S}. and {P}outeau, {R}. and {J}usteau, {D}. and {B}oissieu, {F}lorian de and {B}irnbaum, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {1. {T}here is growing interest among conservationists in biodiversity mapping based on stacked species distribution models ({SSDM}s), a method that combines multiple individual species distribution models to produce a community-level model. {H}owever, no user-friendly interface specifically designed to provide the basic tools needed to fit such models was available until now. 2. {T}he ssdm package is a computer platform implemented in r providing a range of methodological approaches and parameterisation at each step in building the {SSDM}: e.g. pseudo-absence selection, variable contribution and model accuracy assessment, inter-model consensus forecasting, species assembly design, and calculation of weighted endemism. 3. {T}he object-oriented design of the package is such that: users can modify existing methods, extend the framework by implementing new methods, and share them to be reproduced by others. 4. {T}he package includes a graphical user interface to extend the use of {SSDM}s to a wide range of conservation scientists and practitioners.},
  keywords = {bioinformatics ; community ecology ; conservation ; habitats ; modelling ; software ; {MONDE} ; {NOUVELLE} {CALEDONIE}},
  booktitle = {},
  journal = {{M}ethods in {E}cology and {E}volution},
  volume = {8},
  numero = {12},
  pages = {1795--1803},
  ISSN = {2041-210{X}},
  year = {2017},
  DOI = {10.1111/2041-210x.12841},
  URL = {https://www.documentation.ird.fr/hor/fdi:010071870},
}