# Simple Features in R

How to make maps with Plotly and simple features.

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.

To plot on Mapbox maps with Plotly you may need a Mapbox account and a public Mapbox Access Token. See our Mapbox Map Layers documentation for more information. If you're using a Chart Studio Enterprise server, please see additional instructions here.

### Basic sf

library(plotly)
library(sf)

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

fig <- plot_ly(nc)

fig


You can also use plot_geo:

library(plotly)
library(sf)

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

fig <- plot_geo(nc)

fig


Or plot_mapbox:

library(plotly)
library(sf)

Sys.setenv("MAPBOX_TOKEN" = mapboxToken) # for Orca

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

fig <- plot_mapbox(nc, split=~NAME)
fig <- fig %>%
layout(
mapbox = list(
zoom = 6
)
)
fig <- fig %>%
config(mapboxAccessToken = Sys.getenv("MAPBOX_TOKEN"))

fig


### Using ggplot2

Alternatively, if working in ggplot2 you can use ggplotly.

### Reference

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)
)
)
)