Learn R Programming

plotKML (version 0.8-3)

kml_layer-methods: Write objects to a KML connection

Description

Writes any Spatial* object (from the sp package), sfc_* or sf object (from the sf package), spatio-temporal object (from the ST-class package) or Raster* object (from the raster package) to a KML file (connection) as a separate layer. Various aesthetics, i.e. ways to represent target variables, can be set via colour, transparency, size, width, shape arguments. Their availability depends on the class of the object to plot.

Usage

kml_layer(obj, …)

Arguments

obj

object inheriting from the Spatial* or the Raster* classes

additional aesthetics arguments; see details for each kml_layer function and the kml_aes function

Value

An XML object that can be further parsed to a KML file (via an open connection).

See Also

kml_layer.SpatialPoints, kml_layer.Raster, kml_layer.SpatialLines, kml_layer.SpatialPolygons, kml_layer.STIDF, kml_layer.STTDF, kml_layer.SoilProfileCollection, kml-methods, kml_open, kml_close

Examples

Run this code
# NOT RUN {
library(rgdal)
data(eberg_grid)
library(sp)
library(raster)
gridded(eberg_grid) <- ~x+y
proj4string(eberg_grid) <- CRS("+init=epsg:31467")
data(SAGA_pal)
data(R_pal)
# }
# NOT RUN {
# Plot two layers one after the other:
kml_open("eberg_grids.kml")
kml_layer(eberg_grid, colour=DEMSRT6, colour_scale=R_pal[["terrain_colors"]])
kml_layer(eberg_grid, colour=TWISRT6, colour_scale=SAGA_pal[[1]])
kml_close("eberg_grids.kml")
# print the result:
library(XML)
xmlRoot(xmlTreeParse("eberg_grids.kml"))[["Document"]]
# }
# NOT RUN {
# examples with sf
eberg_grid_sf <- sf::st_as_sf(eberg_grid)

# sfc objects
# }
# NOT RUN {
kml_open("eberg_grids.kml")
kml_layer(st_geometry(eberg_grid_sf))
kml_close("eberg_grids.kml")
# }
# NOT RUN {
# sf objects
# }
# NOT RUN {
kml_open("eberg_grid_sf.kml")
kml_layer(eberg_grid_sf, colour = DEMSRT6, colour_scale = R_pal[["terrain_colors"]])
kml_layer(eberg_grid_sf, colour = TWISRT6, colour_scale = SAGA_pal[[1]])
kml_close("eberg_grid_sf.kml")
# }

Run the code above in your browser using DataLab