RShiny_ColiasModel is an interactive shiny app that explores how wing absorptivity influences the body temperatures of butterflies and the consequences for butterfly populations. This visualization is based on Buckley and Kingsolver (2019), and uses a future air temperature projection model from the CMIP5 multimodel ensemble.
Git and Rstudio (Instructions)
Installation of the following R packages:
shiny, magrittr, shinythemes, shinyWidgets, ggplot2, dplyr, leaflet, ggmap, maps, raster, sp, rgdal, viridis, shinycssloaders, shinyjs, sortable, rnoaa, chillR, reshape2, tidyr, gridExtra, shinyBS, cicerone
pkgs <- c("shiny", "magrittr", "ggplot2", "dplyr", "leaflet", "ggmap", "maps", "raster", "sp", "rgdal", "viridis", "shinythemes", "shinyWidgets", "shinycssloaders", "shinyjs", "sortable", "rnoaa", "chillR", "reshape2", "tidyr", "gridExtra", "shinyBS", "cicerone")
lapply(pkgs, FUN = function(x) {
if (!require(x, character.only = TRUE)) {
install.packages(x, dependencies = TRUE)
}
}
)
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Opening in Rstudio:
Click on "Code" on the top right to copy the link to this repository.
ClickFile
,New Project
,Version Control
,Git
Paste the repository URL and clickCreate Project
. -
Alternatively, go to this link.
We have a google doc with questions to guide through the app for further understanding of the topic.
To contribute to RShiny_ColiasModel, follow these steps:
- Fork this repository.
- Create a branch:
git checkout -b <branch_name>
. - Make your changes and commit them:
git commit -m '<commit_message>'
- Push to the original branch:
git push origin <project_name>/<location>
- Create the pull request.
Alternatively see the GitHub documentation on creating a pull request.