RShiny_Microclim

Ecosphere manuscript version

RShiny_Microclim is an interactive shiny app that facilitates the selection of microclimate datasets. The app compares 8 different datasets (SCAN, ERA5-Land, GLDAS, gridMET, NOAA NCDC, microclim, microclimUS, USCRN) both temporally and spatially. Once users selects a dataset, we offer this user guide, which explains how to access and download each dataset.

Prerequisites for opening in Rstudio

Git and Rstudio (Instructions)
Installation of the following R packages: shiny, raster, ggplot2, leaflet, shinyWidgets, shinythemes, shinycssloaders, magrittr, shinyBS, shinyjs, climateR, AOI, plotly, data.table, viridis, cicerone, utils, MALDIquant, ncdf4, rnoaa

pkgs <- c("shiny", "raster", "ggplot2", "leaflet", "shinyWidgets", "shinythemes", "shinycssloaders", "magrittr", "shinyBS", "shinyjs", "climateR", "AOI", "plotly", "data.table", "viridis", "cicerone", "utils", "MALDIquant", "ncdf4", "rnoaa")
lapply(pkgs, FUN = function(x) {
    if (!require(x, character.only = TRUE)) {
      install.packages(x, dependencies = TRUE)
    }
  }
)

devtools::install_github(c("mikejohnson51/AOI", "mikejohnson51/climateR"))

Using RShiny_Microclim

• Opening in Rstudio:
  Click on "Code" on the top right to copy the link to this repository.
  Click File, New Project, Version Control, Git
  Paste the repository URL and click Create Project.

• Alternatively, go to this link.

Contributing to RShiny_Microclim

To contribute to RShiny_Microclim, follow these steps:

1. Fork this repository.
2. Create a branch: git checkout -b <branch_name>.
3. Make your changes and commit them: git commit -m '<commit_message>'
4. Push to the original branch: git push origin <project_name>/<location>
5. Create the pull request.

Alternatively see the GitHub documentation on creating a pull request.