kml.tiles: Write vector object as tiled KML

In plotKML: Visualization of Spatial and Spatio-Temporal Objects in Google Earth

Write vector object as tiled KML

Description

Writes vector object as tiled KML. Suitable for plotting large vectors i.e. large spatial data sets.

Usage

kml.tiles(obj, obj.lst, folder.name, file.name, 
   block.x, kml.logo, cpus, home.url=".", desc=NULL, 
   open.kml=TRUE, return.list=FALSE, ...)

Arguments

obj	"SpatialPoints*" or "SpatialLines*" or "SpatialPolygons*"; vector layer
obj.lst	"list" of tiles generate from the 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 aesthetics)

Value

Returns a list of KML files.

Note

This operation can be time-consuming for processing very large vectors. To speed up writing of KMLs, use the snowfall package.

Author(s)

Tomislav Hengl

See Also

plotKML, plotKML.GDALobj

Examples

## Not run: 
library(sp)
library(snowfall)
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)

plotKML documentation built on June 7, 2022, 5:07 p.m.