| kml.tiles {plotKML} | R Documentation |
Writes vector object as tiled KML. Suitable for plotting large vectors i.e. large spatial data sets.
kml.tiles(obj, folder.name, file.name, block.x, kml.logo, cpus, home.url=".", desc=NULL, open.kml=TRUE, return.list=FALSE, ...)
obj |
|
folder.name |
character; KML folder name |
file.name |
character; output KML file name |
block.x |
numeric; size of block in decimal degrees (geographical coordinates) |
kml.logo |
character; optional project logo file (PNG) |
cpus |
integer; specifies number of CPUs to be used by the snowfall package to speed things up |
home.url |
character; optional web-directory where the PNGs will be stored |
desc |
character; optional layer description |
open.kml |
logical; specifies whether to open the KML file after writing |
return.list |
logical; specifies whether to return list of tiled objects |
... |
(optional) aesthetics arguments (see |
Returns a list of KML files.
This operation can be time-consuming for processing very large vectors. To speed up writing of KMLs, use the snowfall package.
Tomislav Hengl
## Not run:
library(sp)
library(snowfall)
library(GSIF)
library(rgdal)
data(eberg)
coordinates(eberg) <- ~X+Y
proj4string(eberg) <- CRS("+init=epsg:31467")
## plot using tiles:
shape = "http://maps.google.com/mapfiles/kml/pal2/icon18.png"
tiles.p <- kml.tiles(eberg["SNDMHT_A"], block.x=0.05,
size=0.8, z.lim=c(20,50), colour=SNDMHT_A, shape=shape,
labels=SNDMHT_A, return.list=TRUE)
## Returns a list of tiles
data(eberg_contours)
tiles.l <- kml.tiles(eberg_contours, block.x=0.05,
colour=Z, z.lim=range(eberg_contours$Z),
colour_scale=SAGA_pal[[1]], return.list=TRUE)
## End(Not run)