Simple Features in Maps in ggplot2

Introduction

In order to complete the examples below, you'll require installing additional packages (install.packages("packageName")): - sf

The examples below use the library simple features to read in the shape files before plotting the features with Plotly.

Basic sf

library(plotly)
library(sf)

nc <- sf::st_read(system.file("shape/nc.shp", package = "sf"), quiet = TRUE)

fig <- ggplotly(
  ggplot(nc) +
  geom_sf(aes(fill = AREA))
) 

fig

Using Native Plotly

Alternatively, you can use plot_ly, plot_geo, or plot_mapbox.

Reference

See https://plotly.com/r/reference/ for more information and chart attribute options! If you would like to read more on visualizing geo-spatial data with sf and ggplotly click here.

What About Dash?

Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash for R at https://dashr.plot.ly/installation.

Everywhere in this page that you see fig, you can display the same figure in a Dash for R application by passing it to the figure argument of the Graph component from the built-in dashCoreComponents package like this:

library(plotly)

fig <- plot_ly() 
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... ) 

library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)

app <- Dash$new()
app$layout(
    htmlDiv(
        list(
            dccGraph(figure=fig) 
        )
     )
)

app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)