#' Get a Stamen Map
#'
#' \code{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, e.g.
#' \url{http://tile.stamen.com/terrain/#4/30.28/-87.21}
#'
#' @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
#' @param messaging turn messaging on/off
#' @param urlonly return url only
#' @param color color or black-and-white
#' @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 ... ...
#' @return a ggmap object (a classed raster object with a bounding
#' box attribute)
#' @seealso \url{http://maps.stamen.com/#watercolor},
#' \code{\link{ggmap}}
#' @export
#' @examples
#'
#' \dontrun{ # to diminish run check time
#'
#' gc <- geocode("baylor university")
#' google <- get_googlemap("baylor university", zoom = 15)
#' ggmap(google) +
#' geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 2)
#'
#' bbox <- c(left = -97.132, bottom = 31.536, right = -97.105, top = 31.560)
#' ggmap(get_stamenmap(bbox, zoom = 13))
#' ggmap(get_stamenmap(bbox, zoom = 14))
#' ggmap(get_stamenmap(bbox, zoom = 15))
#' # ggmap(get_stamenmap(bbox, zoom = 16))
#' # ggmap(get_stamenmap(bbox, zoom = 17))
#'
#' # note that the osm code may not run due to overloaded
#' # servers.
#'
#' # various maptypes are available. bump it up to zoom = 15 for better resolution.
#' ggmap(get_stamenmap(bbox, maptype = "terrain", zoom = 14))
#' ggmap(get_stamenmap(bbox, maptype = "terrain-background", zoom = 14))
#' ggmap(get_stamenmap(bbox, maptype = "terrain-labels", zoom = 14))
#' ggmap(get_stamenmap(bbox, maptype = "terrain-lines", zoom = 14))
#' ggmap(get_stamenmap(bbox, maptype = "toner", zoom = 14))
#' ggmap(get_stamenmap(bbox, maptype = "toner-2010", zoom = 14))
#' ggmap(get_stamenmap(bbox, maptype = "toner-2011", zoom = 14))
#' ggmap(get_stamenmap(bbox, maptype = "toner-background", zoom = 14))
#' ggmap(get_stamenmap(bbox, maptype = "toner-hybrid", zoom = 14))
#' ggmap(get_stamenmap(bbox, maptype = "toner-labels", zoom = 14))
#' ggmap(get_stamenmap(bbox, maptype = "toner-lines", zoom = 14))
#' ggmap(get_stamenmap(bbox, maptype = "toner-lite", zoom = 14))
#' ggmap(get_stamenmap(bbox, maptype = "watercolor", zoom = 14))
#'
#' ggmap(get_stamenmap(bbox, maptype = "watercolor", zoom = 11), extent = "device")
#' ggmap(get_stamenmap(bbox, maptype = "watercolor", zoom = 12), extent = "device")
#' ggmap(get_stamenmap(bbox, maptype = "watercolor", zoom = 13), extent = "device")
#' ggmap(get_stamenmap(bbox, maptype = "watercolor", zoom = 14), extent = "device")
#' # ggmap(get_stamenmap(bbox, maptype = "watercolor", zoom = 15), extent = "device")
#' # ggmap(get_stamenmap(bbox, maptype = "watercolor", zoom = 16), extent = "device")
#' # ggmap(get_stamenmap(bbox, maptype = "watercolor", zoom = 17), extent = "device")
#' # ggmap(get_stamenmap(bbox, maptype = "watercolor", zoom = 18), extent = "device")
#'
#' stamen <- get_stamenmap(bbox, zoom = 15)
#' ggmap(stamen) +
#' geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 2)
#'
#' stamen <- get_stamenmap(bbox, zoom = 15, crop = FALSE)
#' ggmap(stamen) +
#' geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 2)
#'
#'
#' osm <- get_openstreetmap(bbox, scale = OSM_scale_lookup(15))
#' ggmap(osm) +
#' geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 2)
#'
#'
#' ggmap(get_stamenmap(bbox, zoom = 15, maptype = "watercolor"))+
#' geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 2)
#'
#' ggmap(get_stamenmap(bbox, zoom = 15, maptype = "toner"))+
#' geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 2)
#'
#'
#' # here's an interesting example:
#' us <- c(left = -125, bottom = 25.75, right = -67, top = 49)
#' map <- get_stamenmap(us, zoom = 5, maptype = "toner-labels")
#' ggmap(map)
#'
#'
#'
#' # 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)
#'
#'
#'
#'
#'
#' # accuracy check - statue of liberty
#' # see https://github.com/dkahle/ggmap/issues/32
#'
#' gc <- geocode("statue of liberty")
#'
#' googMapZ10 <- get_googlemap(center = as.numeric(gc))
#' bbZ10 <- attr(googMapZ10, "bb")
#' stamMapZ10 <- get_stamenmap(bb2bbox(bbZ10))
#'
#' ggmap(googMapZ10) +
#' geom_point(
#' aes(x = lon, y = lat),
#' data = gc, colour = "red", size = 3
#' )
#'
#' ggmap(stamMapZ10) +
#' geom_point(
#' aes(x = lon, y = lat),
#' data = gc, colour = "red", size = 3
#' )
#'
#'
#' # using a higher zoom
#' googMapZ15 <- get_googlemap(center = as.numeric(gc), zoom = 15)
#' bbZ15 <- attr(googMapZ15, "bb")
#' stamMapZ15 <- get_stamenmap(bb2bbox(bbZ15),
#' zoom = calc_zoom(bb2bbox(bbZ15))
#' )
#'
#' ggmap(googMapZ15) +
#' geom_point(
#' aes(x = lon, y = lat),
#' data = gc, colour = "red", size = 3
#' )
#'
#' ggmap(stamMapZ15) +
#' geom_point(
#' aes(x = lon, y = lat),
#' data = gc, colour = "red", size = 3
#' )
#'
#'
#' # using a lower zoom
#' googMapZ5 <- get_googlemap(center = as.numeric(gc), zoom = 4)
#' bbZ5 <- attr(googMapZ5, "bb")
#' stamMapZ5 <- get_stamenmap(bb2bbox(bbZ5),
#' zoom = calc_zoom(bb2bbox(bbZ5))
#' )
#'
#' ggmap(googMapZ5) +
#' geom_point(
#' aes(x = lon, y = lat),
#' data = gc, colour = "red", size = 3
#' )
#'
#' ggmap(stamMapZ5) +
#' geom_point(
#' aes(x = lon, y = lat),
#' data = gc, colour = "red", size = 3
#' )
#'
#'
#' stamMapZ5unCropped <- get_stamenmap(bb2bbox(bbZ5),
#' zoom = calc_zoom(bb2bbox(bbZ5)),
#' crop = FALSE)
#'
#' ggmap(stamMapZ5unCropped) +
#' geom_point(
#' aes(x = lon, y = lat),
#' data = gc, colour = "red", size = 3
#' )
#'
#' qmap(location = c(lon = -74.0445, lat = 40.68925),
#' zoom = 16, source = "stamen") +
#' geom_point(aes(x = lon, y = lat), data = gc, colour = "red", size = 3)
#'
#' } # end dontrun
#'
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(), ...
){
# enumerate argument checking (added in lieu of checkargs function)
args <- as.list(match.call(expand.dots = TRUE)[-1])
argsgiven <- names(args)
if("bbox" %in% argsgiven){
if(!(is.numeric(bbox) && length(bbox) == 4)){
stop("bounding box improperly specified. see ?get_openstreetmap", call. = F)
}
}
if("zoom" %in% argsgiven){
if(!(is.numeric(zoom) && length(zoom) == 1 &&
zoom == round(zoom) && zoom >= 0 && zoom <= 18)){
stop("scale must be a postive integer 0-18, see ?get_stamenmap.", call. = F)
}
}
if("messaging" %in% argsgiven) stopifnot(is.logical(messaging))
if("urlonly" %in% argsgiven) stopifnot(is.logical(urlonly))
# color arg checked by match.arg
if("checkargs" %in% argsgiven){
.Deprecated(msg = "checkargs argument deprecated, args are always checked after v2.1.")
}
# 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("terrain","terrain-background","watercolor")){
filetype <- "jpg"
} else {
filetype <- "png"
}
# 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)))))
numXTiles <- length(xsNeeded)
ysNeeded <- Reduce(":", sort(unique(as.numeric(sapply(fourCornersTiles, function(df) df$Y)))))
numYTiles <- length(ysNeeded)
tilesNeeded <- expand.grid(x = xsNeeded, y = ysNeeded)
if(nrow(tilesNeeded) > 40){
message(paste0(nrow(tilesNeeded), " tiles needed, this may take a while ",
"(try a smaller zoom)."))
}
# make urls - e.g. http://tile.stamen.com/[maptype]/[zoom]/[x]/[y].jpg
base_url <- "http://tile.stamen.com/"
base_url <- paste(base_url, maptype, "/", zoom, sep = "")
urls <- paste(base_url,
apply(tilesNeeded, 1, paste, collapse = "/"), sep = "/")
urls <- paste(urls, filetype, sep = ".")
if(messaging) message(length(urls), " tiles required.")
if(urlonly) return(urls)
# make list of tiles
count <- 0
nTiles <- nrow(tilesNeeded)
listOfTiles <- lapply(split(tilesNeeded, 1:nrow(tilesNeeded)), function(v){
v <- as.numeric(v)
get_stamenmap_tile(maptype, zoom, v[1], v[2], force = force, messaging = messaging)
})
# stitch tiles together
map <- stitch(listOfTiles)
# format map and return if not cropping
if(!crop) {
# additional map meta-data
attr(map, "source") <- "stamen"
attr(map, "maptype") <- maptype
attr(map, "zoom") <- zoom
# return
return(map)
}
# crop map
if(crop){
mbbox <- attr(map, "bb")
size <- 256 * c(length(xsNeeded), length(ysNeeded))
# slon is the sequence of lons corresponding to the pixels
# left to right
slon <- seq(mbbox$ll.lon, mbbox$ur.lon, length.out = size[1])
# slat is the sequence of lats corresponding to the pixels
# bottom to top
# slat is more complicated due to the mercator projection
slat <- vector("double", length = 256*length(ysNeeded))
for(k in seq_along(ysNeeded)){
slat[(k-1)*256 + 1:256] <-
sapply(as.list(0:255), function(y){
XY2LonLat(X = xsNeeded[1], Y = ysNeeded[k], zoom, x = 0, y = y)$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_checkargs <- function(args){
eargs <- lapply(args, eval)
argsgiven <- names(args)
with(eargs,{
# bbox arg
if("bbox" %in% argsgiven){
if(!(is.numeric(bbox) && length(bbox) == 4)){
stop("bounding box improperly specified. see ?get_openstreetmap", call. = F)
}
}
# zoom arg
if("zoom" %in% argsgiven){
if(!(is.numeric(zoom) && length(zoom) == 1 &&
zoom == round(zoom) && zoom >= 0 && zoom <= 18)){
stop("scale must be a postive integer 0-18, see ?get_stamenmap.", call. = F)
}
}
# messaging arg
if("messaging" %in% argsgiven){
stopifnot(is.logical(messaging))
}
# urlonly arg
if("urlonly" %in% argsgiven){
stopifnot(is.logical(urlonly))
}
# color arg checked by match.arg
}) # end with
}
get_stamenmap_tile <- function(maptype, zoom, x, y, force = FALSE, messaging = TRUE, where = tempdir()){
# check arguments
is.wholenumber <-
function (x, tol = .Machine$double.eps^0.5) abs(x - round(x)) < tol
stopifnot(is.wholenumber(zoom) || !(zoom %in% 1:20))
stopifnot(is.wholenumber(x) || !(0 <= x && x < 2^zoom))
stopifnot(is.wholenumber(y) || !(0 <= y && y < 2^zoom))
# format url http://tile.stamen.com/[maptype]/[zoom]/[x]/[y].jpg
if(maptype %in% c("terrain","terrain-background","watercolor")){
filetype <- "jpg"
} else {
filetype <- "png"
}
url <- paste0(paste0(c("http://tile.stamen.com", maptype, zoom, x, y), collapse = "/"), ".", filetype)
# lookup in archive
tile <- file_drawer_get(url)
if (!is.null(tile) && !force) return(tile)
# grab if not in archive
tmp <- tempfile()
download.file(url, destfile = tmp, quiet = !messaging, mode = "wb")
if(TRUE) message(paste0("Map from URL : ", url))
# read in
if(maptype %in% c("terrain","terrain-background","watercolor")){
tile <- readJPEG(tmp)
} else {
tile <- readPNG(tmp)
}
# convert to colors
# toner-lines treated differently for alpha
if(maptype %in% c("toner-hybrid", "toner-labels", "toner-lines",
"terrain-labels", "terrain-lines")){
tile <- t(apply(tile, 1:2, function(x) rgb(x[1], x[2], x[3], x[4])))
} else {
tile <- t(apply(tile, 2, rgb))
}
# determine bbox of map. note : not the same as the argument bounding box -
# the map is only a covering of the bounding box extent the idea is to get
# the lower left tile and the upper right tile and compute their bounding boxes
# tiles are referenced by top left of tile, starting at 0,0
# see http://wiki.openstreetmap.org/wiki/Slippy_map_tilenames
lonlat_upperleft <- XY2LonLat(x, y, zoom)
lonlat_lowerright <- XY2LonLat(x, y, zoom, 255, 255)
bbox <- c(
left = lonlat_upperleft$lon,
bottom = lonlat_lowerright$lat,
right = lonlat_lowerright$lon,
top = lonlat_upperleft$lat
)
bb <- data.frame(
ll.lat = unname(bbox["bottom"]),
ll.lon = unname(bbox["left"]),
ur.lat = unname(bbox["top"]),
ur.lon = unname(bbox["right"])
)
# format
class(tile) <- c("ggmap", "raster")
attr(tile, "bb") <- bb
# store
file_drawer_set(url, tile)
# return
tile
}
stitch <- function(tiles){
# trick R CMD check
ll.lat <- NULL; rm(ll.lat);
ll.lon <- NULL; rm(ll.lon);
# determine bounding box
bbs <- ldply(tiles, function(x) attr(x, "bb"))
bigbb <- data.frame(
ll.lat = min(bbs$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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