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#' Get a Stamen Map
#'
#' [get_stamenmap()] accesses a tile server for Stamen Maps and
#' downloads/stitches map tiles/formats a map image. Note that Stamen maps don't
#' cover the entire world.
#'
#' @param bbox a bounding box in the format c(lowerleftlon, lowerleftlat,
#' upperrightlon, upperrightlat).
#' @param zoom a zoom level
#' @param maptype terrain, terrain-background, terrain-labels, terrain-lines,
#' toner, toner-2010, toner-2011, toner-background, toner-hybrid,
#' toner-labels, toner-lines, toner-lite, or watercolor.
#' @param crop crop raw map tiles to specified bounding box. if FALSE, the
#' resulting map will more than cover the bounding box specified.
#' @param messaging turn messaging on/off
#' @param urlonly return url only
#' @param color color or black-and-white (use force = TRUE if you've already
#' downloaded the images)
#' @param force if the map is on file, should a new map be looked up?
#' @param where where should the file drawer be located (without terminating
#' "/")
#' @param https if TRUE, queries an https endpoint so that web traffic between
#' you and the tile server is ecrypted using SSL.
#' @param ... ...
#' @return a ggmap object (a classed raster object with a bounding box
#' attribute)
#' @seealso \url{http://maps.stamen.com/#watercolor}, [ggmap()]
#' @name get_stamenmap
#' @examples
#'
#' \dontrun{ some requires Google API key, see ?register_google; heavy network/time load
#'
#'
#' ## basic usage
#' ########################################
#'
#' bbox <- c(left = -97.1268, bottom = 31.536245, right = -97.099334, top = 31.559652)
#'
#' ggmap(get_stamenmap(bbox, zoom = 13))
#' ggmap(get_stamenmap(bbox, zoom = 14))
#' ggmap(get_stamenmap(bbox, zoom = 15))
#' ggmap(get_stamenmap(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_stamenmap(bbox_everest, zoom = 9))
#'
#'
#'
#' ## map types
#' ########################################
#'
#' place <- "rio de janeiro"
#' google <- get_googlemap(place, zoom = 10)
#' ggmap(google)
#'
#' bbox <- bb2bbox(attr(google, "bb"))
#'
#' get_stamenmap(bbox, maptype = "terrain") %>% ggmap()
#' get_stamenmap(bbox, maptype = "terrain-background") %>% ggmap()
#' get_stamenmap(bbox, maptype = "terrain-labels") %>% ggmap()
#' get_stamenmap(bbox, maptype = "terrain-lines") %>% ggmap()
#' get_stamenmap(bbox, maptype = "toner") %>% ggmap()
#' get_stamenmap(bbox, maptype = "toner-2010") %>% ggmap()
#' get_stamenmap(bbox, maptype = "toner-2011") %>% ggmap()
#' get_stamenmap(bbox, maptype = "toner-background") %>% ggmap()
#' get_stamenmap(bbox, maptype = "toner-hybrid") %>% ggmap()
#' get_stamenmap(bbox, maptype = "toner-labels") %>% ggmap()
#' get_stamenmap(bbox, maptype = "toner-lines") %>% ggmap()
#' get_stamenmap(bbox, maptype = "toner-lite") %>% ggmap()
#' get_stamenmap(bbox, maptype = "watercolor") %>% ggmap()
#'
#'
#' ## zoom levels
#' ########################################
#'
#' get_stamenmap(bbox, maptype = "watercolor", zoom = 11) %>% ggmap(extent = "device")
#' get_stamenmap(bbox, maptype = "watercolor", zoom = 12) %>% ggmap(extent = "device")
#' get_stamenmap(bbox, maptype = "watercolor", zoom = 13) %>% ggmap(extent = "device")
#' # get_stamenmap(bbox, maptype = "watercolor", zoom = 14) %>% ggmap(extent = "device")
#' # get_stamenmap(bbox, maptype = "watercolor", zoom = 15) %>% ggmap(extent = "device")
#' # get_stamenmap(bbox, maptype = "watercolor", zoom = 16) %>% ggmap(extent = "device")
#' # get_stamenmap(bbox, maptype = "watercolor", zoom = 17) %>% ggmap(extent = "device")
#' # get_stamenmap(bbox, maptype = "watercolor", zoom = 18) %>% ggmap(extent = "device")
#'
#'
#' ## https
#' ########################################
#'
#' bbox <- c(left = -97.1268, bottom = 31.536245, right = -97.099334, top = 31.559652)
#' get_stamenmap(bbox, zoom = 14, urlonly = TRUE)
#' get_stamenmap(bbox, zoom = 14, urlonly = TRUE, https = TRUE)
#' ggmap(get_stamenmap(bbox, zoom = 15, https = TRUE, messaging = TRUE))
#'
#'
#' ## more examples
#' ########################################
#'
#' gc <- geocode("rio de janeiro")
#'
#' get_stamenmap(bbox, zoom = 10) %>% ggmap() +
#' geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 2)
#'
#' get_stamenmap(bbox, zoom = 10, crop = FALSE) %>% ggmap() +
#' geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 2)
#'
#' get_stamenmap(bbox, zoom = 10, maptype = "watercolor") %>% ggmap() +
#' geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 2)
#'
#' get_stamenmap(bbox, zoom = 10, maptype = "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_stamenmap(zoom = 5, maptype = "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 = "stamen", maptype = "terrain") +
#' geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 3)
#'
#'
#'
#' ## known issues
#' ########################################
#'
#' # in some cases stamen's servers will not return a tile for a given map
#' # this tends to happen in high-zoom situations, but it is not always
#' # clear why it happens. these tiles will appear as blank parts of the map.
#'
#' # ggmap provides some tools to try to recover the missing tiles, but the
#' # servers seem pretty persistent at not providing the maps.
#'
#' bbox <- c(left = -97.1268, bottom = 31.536245, right = -97.099334, top = 31.559652)
#' ggmap(get_stamenmap(bbox, zoom = 17))
#' get_stamen_tile_download_fail_log()
#' retry_stamen_map_download()
#'
#'
#'
#'
#' }
#'
#'
#' @export
#' @rdname get_stamenmap
get_stamenmap <- function(
bbox = c(left = -95.80204, bottom = 29.38048, right = -94.92313, top = 30.14344),
zoom = 10, maptype = c("terrain","terrain-background","terrain-labels",
"terrain-lines", "toner", "toner-2010", "toner-2011", "toner-background",
"toner-hybrid", "toner-labels", "toner-lines", "toner-lite", "watercolor"),
crop = TRUE, messaging = FALSE, urlonly = FALSE, color = c("color","bw"), force = FALSE,
where = tempdir(), https = FALSE, ...
){
# enumerate argument checking (added in lieu of checkargs function)
args <- as.list(match.call(expand.dots = TRUE)[-1])
argsgiven <- names(args)
if ("location" %in% argsgiven) {
cli::cli_warn("{.arg location} is not a valid argument to {.fn ggmap::get_stamenmap}; it is ignored.")
}
if("bbox" %in% argsgiven){
if(!(is.numeric(bbox) && length(bbox) == 4)){
cli::cli_abort("{.arg bbox} is improperly specified, see {.fn ggmap::get_openstreetmap}.")
}
}
if("zoom" %in% argsgiven){
if(!(is.numeric(zoom) && length(zoom) == 1 &&
zoom == round(zoom) && zoom >= 0 && zoom <= 18)){
cli::cli_abort("{.arg scale} must be a positive integer 0-18, see {.fn ggmap::get_stamenmap.}.")
}
}
if("messaging" %in% argsgiven) stopifnot(is.logical(messaging))
if("urlonly" %in% argsgiven) stopifnot(is.logical(urlonly))
# color arg checked by match.arg
# argument checking (no checks for language, region, markers, path, visible, style)
#args <- as.list(match.call(expand.dots = TRUE)[-1])
#if(checkargs) get_stamenmap_checkargs(args)
maptype <- match.arg(maptype)
color <- match.arg(color)
if(is.null(names(bbox))) names(bbox) <- c("left","bottom","right","top")
# set image type (stamen only)
if(maptype %in% c("watercolor")){
filetype <- "jpg"
cli::cli_alert_info("Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under CC BY SA.")
} else {
filetype <- "png"
cli::cli_alert_info("Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under ODbL.")
}
# determine tiles to get
fourCorners <- expand.grid(
lon = c(bbox["left"], bbox["right"]),
lat = c(bbox["bottom"], bbox["top"])
)
fourCorners$zoom <- zoom
row.names(fourCorners) <- c("lowerleft","lowerright","upperleft","upperright")
fourCornersTiles <- apply(fourCorners, 1, function(v) LonLat2XY(v[1],v[2],v[3]))
xsNeeded <- Reduce(":", sort(unique(as.numeric(sapply(fourCornersTiles, function(df) df$X)))))
ysNeeded <- Reduce(":", sort(unique(as.numeric(sapply(fourCornersTiles, function(df) df$Y)))))
tilesNeeded <- expand.grid(x = xsNeeded, y = ysNeeded)
if(nrow(tilesNeeded) > 40){
cli::cli_alert_info("{nrow(tilesNeeded)} tiles needed, this may take a while (try a smaller zoom?)")
}
# make urls - e.g. http://tile.stamen.com/[maptype]/[zoom]/[x]/[y].jpg
base_url <- if (https) "https://stamen-tiles.a.ssl.fastly.net/" else "http://tile.stamen.com/"
# base_url <- "http://b.b.tile.stamen.com/"
base_url <- paste(base_url, maptype, "/", zoom, sep = "")
urls <- paste(base_url, apply(tilesNeeded, 1, paste, collapse = "/"), sep = "/")
urls <- paste(urls, filetype, sep = ".")
if(messaging) cli::cli_alert_info("{length(urls)} tiles required.")
if(urlonly) return(urls)
# make list of tiles
listOfTiles <- lapply(
split(tilesNeeded, 1:nrow(tilesNeeded)),
function(v) {
v <- as.numeric(v)
get_stamenmap_tile(maptype, zoom, v[1], v[2], color, force = force, messaging = messaging, https = https)
}
)
# stitch tiles together
map <- stitch(listOfTiles)
# format map and return if not cropping
if(!crop) {
# additional map meta-data
attr(map, "source") <- "stamen"
attr(map, "maptype") <- maptype
attr(map, "zoom") <- zoom
# return
return(map)
}
# crop map
if(crop){
mbbox <- attr(map, "bb")
size <- 256L * c(length(xsNeeded), length(ysNeeded))
# slon is the sequence of lons corresponding to the pixels left to right
slon <- seq(mbbox$ll.lon, mbbox$ur.lon, length.out = size[1])
# slat is the sequence of lats corresponding to the pixels bottom to top
# slat is more complicated due to the mercator projection
slat <- vector("double", length = 256L*length(ysNeeded))
for(k in seq_along(ysNeeded)){
slat[(k-1)*256 + 1:256] <-
sapply(as.list(0:255), function(y){
XY2LonLat(X = xsNeeded[1], Y = ysNeeded[k], zoom, x = 0, y = y)$lat
})
}
slat <- rev(slat)
##slat <- seq(mbbox$ll.lat, mbbox$ur.lat, length.out = size[2])
keep_x_ndcs <- which(bbox["left"] <= slon & slon <= bbox["right"])
keep_y_ndcs <- sort( size[2] - which(bbox["bottom"] <= slat & slat <= bbox["top"]) )
croppedmap <- map[keep_y_ndcs, keep_x_ndcs]
}
# format map
croppedmap <- as.raster(croppedmap)
class(croppedmap) <- c("ggmap","raster")
attr(croppedmap, "bb") <- data.frame(
ll.lat = bbox["bottom"], ll.lon = bbox["left"],
ur.lat = bbox["top"], ur.lon = bbox["right"]
)
# additional map meta-data
attr(croppedmap, "source") <- "stamen"
attr(croppedmap, "maptype") <- maptype
attr(croppedmap, "zoom") <- zoom
# return
croppedmap
}
get_stamenmap_tile <- function(maptype, zoom, x, y, color, force = FALSE, messaging = TRUE, where = tempdir(), https = FALSE, url){
if (missing(url)) {
# check arguments
stopifnot(is.wholenumber(zoom) || !(zoom %in% 1:20))
stopifnot(is.wholenumber(x) || !(0 <= x && x < 2^zoom))
stopifnot(is.wholenumber(y) || !(0 <= y && y < 2^zoom))
# format url http://tile.stamen.com/[maptype]/[zoom]/[x]/[y].jpg
if(maptype %in% c("watercolor")) filetype <- "jpg" else filetype <- "png"
domain <- if (https) "https://stamen-tiles.a.ssl.fastly.net" else "http://tile.stamen.com"
url <- glue("{domain}/{maptype}/{zoom}/{x}/{y}.{filetype}")
# lookup in archive
tile <- file_drawer_get(url)
if (!is.null(tile) && !force) return(tile)
# message url
if (messaging) source_url_msg(url)
} else {
url_pieces <- url %>% str_split("[/.]") %>% pluck(1L)
maptype <- url_pieces[6]
zoom <- url_pieces[7] %>% as.integer()
x <- url_pieces[8] %>% as.integer()
y <- url_pieces[9] %>% as.integer()
filetype <- url_pieces[10]
}
# query server
response <- httr::GET(url)
# deal with bad responses
if (response$status_code != 200L) {
httr::message_for_status(response, glue("acquire tile /{maptype}/{zoom}/{x}/{y}.{filetype}"))
if (messaging) message("\n", appendLF = FALSE)
log_stamen_tile_download_fail(url)
tile <- matrix(rgb(1, 1, 1, 0), nrow = 256L, ncol = 256L)
} else {
# parse tile
tile <- httr::content(response)
tile <- aperm(tile, c(2, 1, 3))
# convert to hex color
if (maptype %in% c("toner-hybrid", "toner-labels", "toner-lines", "terrain-labels", "terrain-lines")) {
if(color == "color") {
tile <- apply(tile, 1:2, function(x) rgb(x[1], x[2], x[3], x[4]))
} else { # color == "bw" (all these are black and white naturally)
tile <- apply(tile, 1:2, function(x) rgb(x[1], x[2], x[3], x[4]))
}
} else {
if(color == "color") {
tile <- apply(tile, 2, rgb)
} else { # color == "bw"
tiled <- dim(tile)
tile <- gray(.30 * tile[,,1] + .59 * tile[,,2] + .11 * tile[,,3])
dim(tile) <- tiled[1:2]
}
}
}
# determine bbox of map. note : not the same as the argument bounding box -
# the map is only a covering of the bounding box extent the idea is to get
# the lower left tile and the upper right tile and compute their bounding boxes
# tiles are referenced by top left of tile, starting at 0,0
# see https://wiki.openstreetmap.org/wiki/Slippy_map_tilenames
lonlat_upperleft <- XY2LonLat(x, y, zoom)
lonlat_lowerright <- XY2LonLat(x, y, zoom, 255L, 255L)
bbox <- c(
"left" = lonlat_upperleft$lon,
"bottom" = lonlat_lowerright$lat,
"right" = lonlat_lowerright$lon,
"top" = lonlat_upperleft$lat
)
bb <- tibble(
"ll.lat" = unname(bbox["bottom"]),
"ll.lon" = unname(bbox["left"]),
"ur.lat" = unname(bbox["top"]),
"ur.lon" = unname(bbox["right"])
)
# format
class(tile) <- c("ggmap", "raster")
attr(tile, "bb") <- bb
# cache
file_drawer_set(url, tile)
# return
tile
}
log_stamen_tile_download_fail <- function(url) {
if (exists("stamen_tile_download_fail_log", envir = ggmap_environment)) {
assign(
"stamen_tile_download_fail_log",
unique(c(
get("stamen_tile_download_fail_log", envir = ggmap_environment),
url
)),
envir = ggmap_environment
)
} else {
assign("stamen_tile_download_fail_log", url, envir = ggmap_environment)
}
invisible()
}
#' @export
#' @rdname get_stamenmap
get_stamen_tile_download_fail_log <- function() {
if (!exists("stamen_tile_download_fail_log", envir = ggmap_environment)) {
assign("stamen_tile_download_fail_log", character(0), envir = ggmap_environment)
}
get("stamen_tile_download_fail_log", envir = ggmap_environment)
}
#' @export
#' @rdname get_stamenmap
retry_stamen_map_download <- function() {
if (!exists("stamen_tile_download_fail_log", envir = ggmap_environment)) {
return(invisible())
} else {
get_stamen_tile_download_fail_log() %>%
map(~ get_stamenmap_tile("url" = .x, "force" = TRUE))
}
invisible()
}
stitch <- function(tiles){
# trick R CMD check
ll.lat <- NULL; rm(ll.lat);
ll.lon <- NULL; rm(ll.lon);
# determine bounding box
bbs <- ldply(tiles, function(x) attr(x, "bb"))
bigbb <- data.frame(
ll.lat = min(bbs$ll.lat),
ll.lon = min(bbs$ll.lon),
ur.lat = max(bbs$ur.lat),
ur.lon = max(bbs$ur.lon)
)
# determine positions of tile in slate (aggregate)
order <- as.numeric( arrange(bbs, desc(ll.lat), ll.lon)$.id )
tiles <- tiles[order]
tiles <- lapply(tiles, as.matrix) # essential for cbind/rbind to work properly!
# split tiles, then squeeze together from top and bottom
# and then squeeze together from left and right
nrows <- length( unique(bbs$ll.lat) )
ncols <- length( unique(bbs$ll.lon) )
tiles <- split(tiles, rep(1:nrows, each = ncols))
tiles <- lapply(tiles, function(x) Reduce(cbind, x))
tiles <- Reduce(rbind, tiles)
tiles <- as.raster(tiles)
class(tiles) <- c("ggmap", "raster")
attr(tiles, "bb") <- bigbb
tiles
}
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