<?xml version="1.0"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>SSDM : an R package to predict distribution of species richness and composition based on stacked species distribution models</dc:title>
  <dc:creator>Schmitt, S.</dc:creator>
  <dc:creator>Pouteau, R.</dc:creator>
  <dc:creator>Justeau, D.</dc:creator>
  <dc:creator>/Boissieu, Florian de</dc:creator>
  <dc:creator>Birnbaum, P.</dc:creator>
  <dc:subject>bioinformatics</dc:subject>
  <dc:subject>community ecology</dc:subject>
  <dc:subject>conservation</dc:subject>
  <dc:subject>habitats</dc:subject>
  <dc:subject>modelling</dc:subject>
  <dc:subject>software</dc:subject>
  <dc:description>1. There is growing interest among conservationists in biodiversity mapping based on stacked species distribution models (SSDMs), a method that combines multiple individual species distribution models to produce a community-level model. However, no user-friendly interface specifically designed to provide the basic tools needed to fit such models was available until now. 2. The 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. The 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. The package includes a graphical user interface to extend the use of SSDMs to a wide range of conservation scientists and practitioners.</dc:description>
  <dc:date>2017</dc:date>
  <dc:type>text</dc:type>
  <dc:identifier>https://www.documentation.ird.fr/hor/fdi:010071870</dc:identifier>
  <dc:identifier>fdi:010071870</dc:identifier>
  <dc:identifier>Schmitt S., Pouteau R., Justeau D., Boissieu Florian de, Birnbaum P.. SSDM : an R package to predict distribution of species richness and composition based on stacked species distribution models. 2017, 8 (12),  1795-1803</dc:identifier>
  <dc:language>EN</dc:language>
  <dc:coverage>MONDE</dc:coverage>
  <dc:coverage>NOUVELLE CALEDONIE</dc:coverage>
</oai_dc:dc>
