# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "eSDM" in publications use:' type: software license: Apache-2.0 title: 'eSDM: Ensemble Tool for Predictions from Species Distribution Models' version: 0.4.2 doi: 10.1111/2041-210X.13283 identifiers: - type: doi value: 10.32614/CRAN.package.eSDM - type: url value: https://swfsc.github.io/eSDM/ abstract: A tool which allows users to create and evaluate ensembles of species distribution model (SDM) predictions. Functionality is offered through R functions or a GUI (R Shiny app). This tool can assist users in identifying spatial uncertainties and making informed conservation and management decisions. The package is further described in Woodman et al (2019) . authors: - family-names: Woodman given-names: Sam email: sam.woodman@noaa.gov orcid: https://orcid.org/0000-0001-6071-8186 preferred-citation: type: article title: 'eSDM: A tool for creating and exploring ensembles of predictions from species distribution and abundance models' authors: - family-names: Woodman given-names: Samuel M. - family-names: Forney given-names: Karin A. - family-names: Becker given-names: Elizabeth A. - family-names: DeAngelis given-names: Monica L. - family-names: Hazen given-names: Elliott L. - family-names: Palacios given-names: Daniel M. - family-names: Redfern given-names: Jessica V. year: '2019' journal: Methods Ecol Evol doi: 10.1111/2041-210X.13283 url: https://doi.org/10.1111/2041-210X.13283 repository: https://noaa-fisheries-integrated-toolbox.r-universe.dev repository-code: https://github.com/swfsc/eSDM/issues/ commit: c2fb2cccfb97c900f6c14827ad50f5bc9e905856 url: https://github.com/swfsc/eSDM/ contact: - family-names: Woodman given-names: Sam email: sam.woodman@noaa.gov orcid: https://orcid.org/0000-0001-6071-8186