Shiny for EcoDataScience

If you want to follow along (or play with the apps contained in this repository), you'll need to have the following packages installed:

# General
library(tidyverse) # data wrangling

# Shiny applications
library(shiny) # interactive applications
library(shinyjs) # javascript functionality for shiny
library(shinydashboard) # dashboard layouts
library(shinyWidgets) # additional widgets

# Maps and plotting
library(leaflet) # interactive maps 
library(plotly) # interactive charts
library(sf) # spatial features
library(rnaturalearth) # maps
library(rnaturalearthdata) # map data

This goal of this talk is to provide a short introduction to Shiny for R, and then to highlight some supplemental packages that I have found to helpful for building effective interactive applications.

This presentation will be roughly divided into four parts:

1. The Basics: Brief review of essential Shiny functions and some tips to make your reactive programming more efficient;

2. Appearance & Organization (shinydashboard + more): Keeping things organized;

3. (gg)plotly: Making your (already awesome) ggplot figures more awesome;

4. leaflet: Interactive maps!

Within each section, I'll start with a few slides of explanation, and then turn to a small Shiny app to demonstrate.