Simple Features in Maps in ggplot2

How to use Simple Features in Maps with Plotly.

New to Plotly?

Plotly is a free and open-source graphing library for R. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

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)