sdmApp: A User-Friendly Application for Species Distribution Modeling

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).

Version: 0.0.1
Depends: R (≥ 3.5.0)
Imports: raster (≥ 2.6.7), sp (≥ 1.2.0), biomod2 (≥ 3.4.6), blockCV (≥ 2.1.1), CENFA (≥ 1.1.0), dismo (≥ 1.0.12), DT, kernlab (≥ 0.9-29), randomForest (≥ 4.6.10), readxl (≥ 1.3.1), rhandsontable (≥ 0.3.7), sf, shiny (≥ 0.12.2), shinyBS (≥ 0.61), shinyFiles (≥ 0.7.0), SSDM (≥ 0.2.8), ggcorrplot (≥ 0.1.3), ggplot2 (≥ 3.1.1), ggpubr (≥ 0.4.0), haven (≥ 2.3.1), tidyverse (≥ 1.3.0), data.table, rgeos (≥ 0.3-8), rJava (≥ 0.9-13)
Suggests: covr, grDevices, knitr, rmarkdown, stats, testthat, utils, rgdal (≥ 1.5-8), automap (≥ 1.0-14), graphics, future.apply
Published: 2021-01-22
Author: Aboubacar HEMA [aut, cre], Babacar NDAO [ctb], Louise LEROUX [aut], Abdoul Aziz DIOUF [ctb]
Maintainer: Aboubacar HEMA <aboubacarhema94 at gmail.com>
BugReports: https://github.com/Abson-dev/sdmApp/issues
License: GPL-3
URL: https://github.com/Abson-dev/sdmApp
NeedsCompilation: no
SystemRequirements: Java (>= 8)
Language: en-US
Materials: README
CRAN checks: sdmApp results

Downloads:

Reference manual: sdmApp.pdf
Vignettes: A user-friendly application for species distribution modeling
Package source: sdmApp_0.0.1.tar.gz
Windows binaries: r-devel: sdmApp_0.0.1.zip, r-release: sdmApp_0.0.1.zip, r-oldrel: sdmApp_0.0.1.zip
macOS binaries: r-release (arm64): sdmApp_0.0.1.tgz, r-release (x86_64): sdmApp_0.0.1.tgz, r-oldrel: sdmApp_0.0.1.tgz

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