The following two lines move some software to your computer. You should run the following chunk by itself then Make the two lines comments after you run them once.
# install.packages("leaflet")
# install.packages("tidyverse")
The following two lines make the packages available to your R session. Leave them here.
library(leaflet)
library(tidyverse)
## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
## ✓ ggplot2 3.3.3 ✓ purrr 0.3.4
## ✓ tibble 3.1.2 ✓ dplyr 1.0.6
## ✓ tidyr 1.1.3 ✓ stringr 1.4.0
## ✓ readr 1.4.0 ✓ forcats 0.5.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
# The following two lines locate my house.
myLong = -122.8628
myLat = 47.018
Use leaflet to put my house in context.
leaflet() %>%
addTiles() %>%
addMarkers(myLong,myLat,popup = "My House")
myLocs <- read_csv("myLocs.csv")
##
## ── Column specification ────────────────────────────────────────────────────────
## cols(
## lat = col_double(),
## lon = col_double(),
## ID = col_character()
## )
myMap = myLocs %>%
leaflet() %>%
addTiles() %>%
addMarkers(popup = ~ID)
## Assuming "lon" and "lat" are longitude and latitude, respectively
myMap
Look at the list of potential alternatives to the default OSM map.
Visit https://github.com/rstudio/leaflet.providers
I’ll pick a few options to demonstrate usage.
myMap = myLocs %>%
leaflet() %>%
addProviderTiles("Stamen") %>%
addMarkers(popup = ~ID)
## Assuming "lon" and "lat" are longitude and latitude, respectively
myMap
myMap = myLocs %>%
leaflet() %>%
addProviderTiles("CartoDB") %>%
addMarkers(popup = ~ID)
## Assuming "lon" and "lat" are longitude and latitude, respectively
myMap
myMap = myLocs %>%
leaflet() %>%
addProviderTiles("Esri") %>%
addMarkers(popup = ~ID)
## Assuming "lon" and "lat" are longitude and latitude, respectively
myMap
`