Package: eSDM
Title: Ensemble Tool for Predictions from Species Distribution Models
Description: 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)
        <doi:10.1111/2041-210X.13283>.
Version: 0.4.2
Authors@R: person("Sam", "Woodman", email = "sam.woodman@noaa.gov", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-6071-8186"))
URL: https://github.com/swfsc/eSDM/, https://swfsc.github.io/eSDM/
BugReports: https://github.com/swfsc/eSDM/issues/
Depends: R (>= 4.0.0)
Imports: dplyr (>= 0.7-0), magrittr, methods, purrr, rlang, ROCR, sf
        (>= 0.9-0), shiny, stats, units
Suggests: colorRamps, colourpicker, dichromat, DT, knitr, leafem,
        leaflet, maps, raster, RColorBrewer, rmarkdown, shinybusy,
        shinydashboard, shinyjs, testthat (>= 2.1.0), tmap (>= 2.3),
        viridis, zip
License: Apache License (== 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
VignetteBuilder: knitr
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        make libuv1-dev libssl-dev libproj-dev libsqlite3-dev
        libudunits2-dev zlib1g-dev
Repository: https://noaa-fisheries-integrated-toolbox.r-universe.dev
Date/Publication: 2024-07-17 19:06:20 UTC
RemoteUrl: https://github.com/smwoodman/eSDM
RemoteRef: HEAD
RemoteSha: c2fb2cccfb97c900f6c14827ad50f5bc9e905856
NeedsCompilation: no
Packaged: 2026-06-17 07:55:51 UTC; root
Author: Sam Woodman [aut, cre] (ORCID: <https://orcid.org/0000-0001-6071-8186>)
Maintainer: Sam Woodman <sam.woodman@noaa.gov>