get_stadiamap: Get a Map from Stadia Maps

In ggmap: Spatial Visualization with ggplot2

Get a Map from Stadia Maps

Description

get_stadiamap() accesses a tile server for Stadia Maps and downloads/stitches map tiles/formats a map image.

Usage

get_stadiamap(
  bbox = c(left = -95.80204, bottom = 29.38048, right = -94.92313, top = 30.14344),
  zoom = 10,
  maptype = STADIA_VALID_MAP_TYPES,
  crop = TRUE,
  messaging = FALSE,
  urlonly = FALSE,
  color = c("color", "bw"),
  force = FALSE,
  where = tempdir(),
  ...
)

Arguments

bbox	a bounding box in the format c(lowerleftlon, lowerleftlat, upperrightlon, upperrightlat).
zoom	a zoom level
maptype	stamen_terrain, stamen_toner, stamen_toner_lite, stamen_watercolor, stamen_terrain_background, stamen_toner_background, stamen_terrain_lines, stamen_terrain_labels, stamen_toner_lines, stamen_toner_labels.
crop	crop raw map tiles to specified bounding box. if FALSE, the resulting map will more than cover the bounding box specified.
messaging	turn messaging on/off
urlonly	return url only
color	color or black-and-white (use force = TRUE if you've already downloaded the images)
force	if the map is on file, should a new map be looked up?
where	where should the file drawer be located (without terminating "/")
...	...

Value

a ggmap object (a classed raster object with a bounding box attribute)

See Also

https://docs.stadiamaps.com/themes/, ggmap()

Examples

## Not run:  requires a Stadia Maps API key. see ?register_stadiamaps


## basic usage
########################################

bbox <- c(left = -97.1268, bottom = 31.536245, right = -97.099334, top = 31.559652)

ggmap(get_stadiamap(bbox, zoom = 13))
ggmap(get_stadiamap(bbox, zoom = 14))
ggmap(get_stadiamap(bbox, zoom = 15))
ggmap(get_stadiamap(bbox, zoom = 17, messaging = TRUE))

place <- "mount everest"
(google <- get_googlemap(place, zoom = 9))
ggmap(google)
bbox_everest <- c(left = 86.05, bottom = 27.21, right = 87.81, top = 28.76)
ggmap(get_stadiamap(bbox_everest, zoom = 9))



## map types
########################################

place <- "rio de janeiro"
google <- get_googlemap(place, zoom = 10)
ggmap(google)

bbox <- bb2bbox(attr(google, "bb"))

get_stadiamap(bbox, maptype = "stamen_terrain")            %>% ggmap()
get_stadiamap(bbox, maptype = "stamen_terrain_background") %>% ggmap()
get_stadiamap(bbox, maptype = "stamen_terrain_labels")     %>% ggmap()
get_stadiamap(bbox, maptype = "stamen_terrain_lines")      %>% ggmap()
get_stadiamap(bbox, maptype = "stamen_toner")              %>% ggmap()
get_stadiamap(bbox, maptype = "stamen_toner_background")   %>% ggmap()
get_stadiamap(bbox, maptype = "stamen_toner_labels")       %>% ggmap()
get_stadiamap(bbox, maptype = "stamen_toner_lines")        %>% ggmap()
get_stadiamap(bbox, maptype = "stamen_toner_lite")         %>% ggmap()
get_stadiamap(bbox, maptype = "stamen_watercolor")         %>% ggmap()


## zoom levels
########################################

get_stadiamap(bbox, maptype = "stamen_watercolor", zoom = 11) %>% ggmap(extent = "device")
get_stadiamap(bbox, maptype = "stamen_watercolor", zoom = 12) %>% ggmap(extent = "device")
get_stadiamap(bbox, maptype = "stamen_watercolor", zoom = 13) %>% ggmap(extent = "device")
# get_stadiamap(bbox, maptype = "stamen_watercolor", zoom = 14) %>% ggmap(extent = "device")
# get_stadiamap(bbox, maptype = "stamen_watercolor", zoom = 15) %>% ggmap(extent = "device")
# get_stadiamap(bbox, maptype = "stamen_watercolor", zoom = 16) %>% ggmap(extent = "device")
# get_stadiamap(bbox, maptype = "stamen_watercolor", zoom = 17) %>% ggmap(extent = "device")
# get_stadiamap(bbox, maptype = "stamen_watercolor", zoom = 18) %>% ggmap(extent = "device")

## more examples
########################################

gc <- geocode("rio de janeiro")

get_stadiamap(bbox, zoom = 10) %>% ggmap() +
 geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 2)

get_stadiamap(bbox, zoom = 10, crop = FALSE) %>% ggmap() +
  geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 2)

get_stadiamap(bbox, zoom = 10, maptype = "stamen_watercolor") %>% ggmap() +
  geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 2)

get_stadiamap(bbox, zoom = 10, maptype = "stamen_toner") %>% ggmap() +
  geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 2)


# continental united states labels
c("left" = -125, "bottom" = 25.75, "right" = -67, "top" = 49) %>%
  get_stadiamap(zoom = 5, maptype = "stamen_toner_labels") %>%
  ggmap()




# accuracy check - white house
gc <- geocode("the white house")

qmap("the white house", zoom = 16)  +
  geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 3)

qmap("the white house", zoom = 16, source = "stadia", maptype = "stamen_terrain")  +
  geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 3)



## known issues
########################################

# Stamen's original tilesets were raster renders built up over time, but have not been
# actively rendered for several years. As a consequence, some tiles simply do not exist,
# particularly at high zoom levels.
#
# The newer styles have been redesigned and are now generated live by Stadia Maps, so
# these are complete, but at the time of this writing, the Watercolor style is still incomplete.

## End(Not run)

ggmap documentation built on Nov. 19, 2023, 9:06 a.m.