R: Write tiled objects to KML

plotKML.GDALobj {plotKML}

R Documentation

Write tiled objects to KML

Description

Write tiled objects to KML. Suitable for plotting large rasters i.e. large spatial data sets.

Usage

plotKML.GDALobj(obj, file.name, block.x, tiles=NULL, 
   tiles.sel=NULL, altitude=0, altitudeMode="relativeToGround", colour_scale, 
   z.lim=NULL, breaks.lst=NULL, kml.logo, overwrite=TRUE, cpus, 
   home.url=".", desc=NULL, open.kml=TRUE, CRS=attr(obj, "projection"), 
   plot.legend=TRUE)

Arguments

`obj`	`"GDALobj"` object i.e. a pointer to a spatial layer
`file.name`	character; output KML file name
`block.x`	numeric; size of block in meters or corresponding mapping units
`tiles`	data.frame; tiling definition generated using `GSIF::tile`
`tiles.sel`	integer; selection of tiles to be plotted
`altitude`	numeric; altitude of the ground overlay
`altitudeMode`	character; either `"absolute"`, `"relativeToGround"` or `"clampToGround"`
`colour_scale`	character; color palette
`z.lim`	numeric; upper lower boundaries
`breaks.lst`	numeric; optional break lines (must be of size `length(colour_scale)+1)`
`kml.logo`	character; optional project logo file (PNG)
`overwrite`	logical; specifies whether to overwrite PNGs if available
`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
`CRS`	character; projection string (if missing)
`plot.legend`	logical; indicate whether to plot summary legend

Value

Returns a list of KML files.

Note

This operation can be time-consuming for processing very large rasters e.g. more than 10,000 by 10,000 pixels. To speed up writing of KMLs, use the snowfall package.

Author(s)

Tomislav Hengl

Examples

## Not run: 
library(sp)
library(snowfall)
library(GSIF)
library(rgdal)
fn = system.file("pictures/SP27GTIF.TIF", 
 package = "rgdal")
obj <- GDALinfo(fn)
tiles <- getSpatialTiles(obj, block.x=5000, 
  return.SpatialPolygons = FALSE)
## plot using tiles:
plotKML.GDALobj(obj, tiles=tiles, z.lim=c(0,185))
## Even better ideas is to first reproject 
## the large grid using 'gdalUtils::gdalwarp', then tile...

## End(Not run)

[Package plotKML version 0.5-9 Index]