Dataset Explorer for BioTIME

An interactive Shiny app to visually show the time-series datasets in the BioTIME database

Author Cher Chow
Contact fycc1 at st-andrews.ac.uk or through GitHub.

Requirements

This app is not yet published or hosted on a server, so this will only run if you open this from RStudio and run it locally from your computer.

• RStudio and R (preferably version 4.0+)
• This app requires these packages to run: shiny, shinyjs, tidyverse, plotly, sf, leaflet, and leaflet.providers.
• Source files that calculate dataset extents require additional packages but these are all listed in the .R files themselves.

Features

shinyMap

The shinyMap app is a version with only the dataset map (intended for the main website page). It has a control panel for filtering datasets by categories like biome, taxa, realm, and duration. The map itself is interactive. Each dataset is represented by either a circle marker or groups of hex cells. Clicking on these will pop-up a tooltip with more details about the dataset.

shinyTrends

Work in progress! This will be a full page data explorer that also incorporates dataset filtering and showing diversity trends from our 2014 (Dornelas et al.) and 2019 (Blowes et al.) Science papers.

Running the app locally

1. Clone a local copy of the repository.
2. In the subfolder of the app you want to run (either shinyMap or shinyTrends), open app.R in RStudio.
3. Click the Run button that shows up in the upper-right corner of RStudio.
4. This should run out of the box smoothly except that it'll prompt a pop-up in RStudio to set the working directory. Choose any file within the src folder.