Green Book Vegetation Monitoring App

This Shiny app provides a user-friendly interface for monitoring vegetation data. The app is designed to help analyze and visualize various ecological datasets.

How to Run the App Locally

1. Clone the repository:

   git clone https://github.com/inyo-gov/inyoShiny.git
   cd inyoShiny

2. Open the project in RStudio:

   • Double-click on the inyoShiny.Rproj file to open the project in RStudio. This will ensure all project settings and working directories are correctly configured.

3. Install the required libraries in R:

   install.packages(c("shiny", "tidyverse", "here", "crosstalk", "plotly", "janitor", "sf", "leaflet", "DT"))

4. Run the app in RStudio:

   • In the RStudio Console, run:

   shiny::runApp()

Reproducing and Testing the App

To reproduce and test the app:

1. Ensure you have cloned the repository and opened the .Rproj file in RStudio as described above.

2. Load the required libraries by running the following in the RStudio Console:

   install.packages(c("shiny", "tidyverse", "here", "crosstalk", "plotly", "janitor", "sf", "leaflet", "DT"))

3. Source the functions and data by running:

   source("code/functions.R")

4. Run the app by executing:

   shiny::runApp()

5. To test specific functions or datasets, you can create separate R scripts within the RStudio project, load the necessary data, and call the functions directly.

Contributing

To contribute to this project, you can:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -am 'Add new feature').
5. Push to the branch (git push origin feature-branch).
6. Create a new Pull Request.

Issues

If you encounter any issues or have questions, feel free to open an issue on the GitHub repository.

Deployment

The app is deployed and accessible at https://inyo.shinyapps.io/inyoShiny/.