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 (in review - contact author for paper).
Version: 0.2.1
Authors@R: person("Sam", "Woodman", email = "sam.woodman@noaa.gov", role = c("aut", "cre"))
URL: 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 (>= 2.1), units, viridis
Suggests: knitr, maps, maptools, mapview, rmarkdown, testthat (>=
        2.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-07-23 18:02:49 UTC; sam.woodman
Author: Sam Woodman [aut, cre]
Maintainer: Sam Woodman <sam.woodman@noaa.gov>
Repository: CRAN
Date/Publication: 2019-07-26 11:00:07 UTC
