DESCRIPTION

Package: sdmApp
Title: A User-Friendly Application for Species Distribution Modeling
Version: 0.0.2
Authors@R: c(
    person("Aboubacar", "HEMA", , "aboubacarhema94@gmail.com", role = c("aut", "cre")),
    person("Babacar", "NDAO", , "babacar.ndao@cse.sn", role = "aut"),
    person("Louise", "LEROUX", , "louise.leroux@cirad.fr", role = "aut"),
    person("Abdoul Aziz", "DIOUF", , "aziz.diouf@cse.sn", role = "aut")
  )
Author: Aboubacar HEMA [aut, cre], Babacar NDAO [aut], Louise LEROUX
    [aut], Abdoul Aziz DIOUF [aut]
Maintainer: Aboubacar HEMA <aboubacarhema94@gmail.com>
Description: A 'shiny' application that allows non-expert 'R' users to
    easily model species distribution. It offers a reproducible work flow
    for species distribution modeling into a single and user friendly
    environment.  'sdmApp' takes 'raster' data (in format supported by the
    'raster package') and species occurrence data (several format
    supported) as input argument.  It provides an interactive graphical
    user interface (GUI).
License: GPL-3
URL: https://github.com/Abson-dev/sdmApp
BugReports: https://github.com/Abson-dev/sdmApp/issues
Depends: 
    R (>= 3.5.0)
Imports:
    raster (>= 2.6.7),
    shiny (>= 0.12.2),
    sp (>= 1.2.0)
Suggests: 
    automap (>= 1.0-14),
    blockCV (>= 2.1.1),
    covr,
    cowplot (>= 1.1.1),
    data.table,
    dismo (>= 1.0.12),
    dplyr (>= 1.0.3),
    DT,
    future.apply,
    ggcorrplot (>= 0.1.3),
    ggplot2 (>= 3.1.1),
    grDevices,
    haven (>= 2.3.1),
    kernlab (>= 0.9-29),
    knitr,
    randomForest (>= 4.6.10),
    readxl (>= 1.3.1),
    rgdal (>= 1.5-8),
    rgeos (>= 0.3-8),
    rhandsontable (>= 0.3.7),
    rJava (>= 0.9-13),
    rmarkdown,
    sf,
    shinyBS (>= 0.61),
    shinyFiles (>= 0.7.0),
    SSDM (>= 0.2.8),
    stats,
    testthat (>= 3.0.0),
    tidyr (>= 1.1.2),
    utils
VignetteBuilder: 
    knitr,
    rmarkdown
BuildResaveData: no
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
LazyData: no
LazyLoad: yes
RoxygenNote: 7.2.3
SystemRequirements: Java (>= 8)
ZipData: no