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).


Reference manual

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0.0.1 by Aboubacar HEMA, a month ago


Report a bug at https://github.com/Abson-dev/sdmApp/issues

Browse source code at https://github.com/cran/sdmApp

Authors: Aboubacar HEMA [aut, cre] , Babacar NDAO [ctb] , Louise LEROUX [aut] , Abdoul Aziz DIOUF [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports raster, sp, biomod2, blockCV, CENFA, dismo, DT, kernlab, randomForest, readxl, rhandsontable, sf, shiny, shinyBS, shinyFiles, SSDM, ggcorrplot, ggplot2, ggpubr, haven, tidyverse, data.table, rgeos, rJava

Suggests covr, grDevices, knitr, rmarkdown, stats, testthat, utils, rgdal, automap, graphics, future.apply

System requirements: Java (>= 8)

See at CRAN