victor
The goal of victor is to interact with the Mapbox Vector Tile API ( also here ) in R. Grab a vector tile(s), work with it using the simple features package sf. Plot static maps with ggplot2, tmap, etc.
Inspired and/or fuelled by:
Installation
Install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("adam-gruer/victor")Mapbox Token
You will need a Mapbox Access Token to use their API. Once you have a token add a line to your .Renviron file
MAPBOX_API_KEY=your_acess_token
The easiest way to edit .Renviron is with the usethis pavkage
usethis::edit_r_environ(). You will have to restart R after editing
the file for the token to be available.
Example
Let’s create a map of Melburn and surrounding cities:
Use the spoils function to retrieve a tile for a given location and zoom It returns a list of simple features data frames. One for each layer of data provided by mapbox.
library(victor)
library(sf)
library(tidyverse)
melburn <- spoils(zoom = 7, longitude = 144.8430, latitude = -37.7311)
roads <- filter(melburn$road,!st_is(geometry, "POINT"))
road_shields <- filter(melburn$road,
st_is(geometry, "POINT"),
str_starts(ref, "M") ) %>%
group_by(ref) %>%
filter(row_number() == 1)
places <- filter(melburn$place_label, symbolrank < 11) %>%
mutate(name = case_when(name == "Melbourne" ~ "Melburn",
TRUE ~ as.character(name)))
ggplot() +
geom_sf(data = melburn$water, fill = "lightblue") +
geom_sf(aes(colour = class), data = roads) +
geom_sf_label(aes(label = ref), data = road_shields) +
geom_sf_label(aes(label = name, size = symbolrank),
data = places) +
scale_size(trans = "reverse", range = c(4,6)) +
theme_void() +
theme( panel.grid.major = element_line(size = 0),
plot.background = element_rect(fill = "antiquewhite"),
legend.position = "none") 
Melburn CBD , zoomed in
cbd <- spoils(zoom = 15, long = 144.958869, lat =-37.820318)
ggplot() + geom_sf(data = cbd$water, fill = "lightblue") +
geom_sf(data = cbd$building, aes(fill = type )) +
geom_sf(data = cbd$road) +
geom_sf_label(data = cbd$natural_label,
aes (label = name),
alpha = 0.4,
nudge_x = 0.002) +
geom_sf_label(data = filter(cbd$poi_label,
category_en == "Aquarium"),
aes(label = name),
alpha = 0.4) +
theme_void() +
theme( panel.grid.major = element_line(size = 0),
plot.background = element_rect(fill = "antiquewhite1")) 