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: 0.3.2
Authors@R: person("Sam", "Woodman", email = "sam.woodman@noaa.gov", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-6071-8186"))
URL: https://smwoodman.github.io/eSDM,
        https://github.com/smwoodman/eSDM
BugReports: https://github.com/smwoodman/eSDM/issues
Depends: R (>= 3.5.0)
Imports: colorRamps, colourpicker, dichromat, dplyr (>= 0.7-0), DT,
        leaflet, lwgeom, methods, purrr, raster, rlang, RColorBrewer,
        ROCR, shiny, shinycssloaders, shinydashboard, shinyjs, sf (>=
        0.6-3), stats, tmap (>= 2.3), units, viridis, zip
Suggests: knitr, leafem, maps, maptools, rmarkdown, testthat (>= 2.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-12-16 19:29:41 UTC; sam.woodman
Author: Sam Woodman [aut, cre] (<https://orcid.org/0000-0001-6071-8186>)
Maintainer: Sam Woodman <sam.woodman@noaa.gov>
Repository: CRAN
Date/Publication: 2019-12-16 23:50:05 UTC
Built: R 4.0.0; ; 2020-04-10 11:02:41 UTC; windows
