An RShiny user interface for visualizing an integrated ecosystem assessment focused on characterizing the status and trends of the fishery ecosystem in Maine’s coastal waters.
This RShiny is now live! Explore it here
| File | Description |
|---|---|
| app_metadata.R | Desriptions of data for the Metadata tab in app |
| automatic_ecodata.R | .R file used to pull relevant data from ecodata package and other sources in R, and wrangle data into consistent format to be read in Shiny app
|
| Compile_data.R | .R file that comiles all data sources into one, which is loaded into the sea_grant_app.R |
| Dismap_data.R | Wrangling all data sourced from DisMAP into usable format for the app. This code should be able to automatically handle updated .csv files if the current files are replaced by new ones from the DisMAP site. |
| salinity_GLORYs_1993-2020.R | Wrangling and processing methods for salinity data used in app |
| sea_grant_app.R | .R that houses code to build and run Shiny app |
| supporting_functions_for_app.R | Funtions called within the app put into the .R file to help clean up sea_grant_app.R script |
| File | Description |
|---|---|
| DisMAP | Folder containing mean latitude and depth data that were sourced from DisMAP. Individual files are not discriptivley named as the app is intended to use them as they come named from the original downloads from the site. |
| GLORYs_salinity | Folder containing original .nc slinity data, post-processing .csv salinity data, and metadata .txt file |
| stock_assess_data2.csv | Other stock data used in this app
|
3. "Table" folder containing code and information regarding table building process for the RStudio 2022 table competition.
- This table is included in this repository as it uses publicly available ecosystem indicator data, as used in the app.
- The information in this folder is not necessary to run the app, as it is an adjacent project.