| plotKML.env {plotKML} | R Documentation |
Sets the environmental, package specific parameters and settings (URLs, names, default color palettes and similar) that can be later on passed to other functions.
plotKML.env(colour_scale_numeric = "", colour_scale_factor = "",
colour_scale_svar = "", ref_CRS, NAflag, icon, LabelScale, size_range,
license_url, metadata_sel, kmz, kml_xsd, kml_url, kml_gx, gpx_xsd,
fgdc_xsd, inspire_xsd, convert, gdalwarp, gdal_translate, python,
home_url, show.env = TRUE, silent = TRUE)
colour_scale_numeric |
default colour scheme for numeric variables |
colour_scale_factor |
default colour scheme for factor variables |
colour_scale_svar |
default colour scheme for model error (e.g. mapping error) |
ref_CRS |
the referent CRS proj4string ( |
NAflag |
the default missing value flag (usually |
icon |
the default icon URL |
LabelScale |
the default scale factor for labels |
size_range |
the default size range |
license_url |
the default license URL |
metadata_sel |
a list of the default metadata fields for summary |
kmz |
logical; the default compression setting |
kml_xsd |
the default KML scheme URL |
kml_url |
the default KML format URL |
kml_gx |
the default extended KML scheme URL |
gpx_xsd |
the default GPX scheme URL |
fgdc_xsd |
the default metadata scheme URL |
inspire_xsd |
the default metadata scheme URL |
convert |
a path to ImageMagick convert program |
gdalwarp |
a path to gdalwarp program |
gdal_translate |
a path to gdalwarp program |
python |
a path to Python program |
home_url |
the default location of all icons and auxiliary files |
show.env |
logical; specify whether to print all environmental parameters |
silent |
logical; specify whether to search for paths for external software |
The function will try to locate external software tools under either Windows or Unix platform and then save the results to the plotKML.opts environment. plotKML-package does not look automatically for software paths (unless you specify this manually in your "Rprofile.site").
The external software tools are not required by default and most of operations in plotKML-package can be run without using them. GDAL, SAGA GIS and Python are highly recommended, however, for processing large data sets. The function paths looks for GDAL, ImageMagick, Python, SAGA GIS, in the Windows Registry Hive, the Program Files directory or the usr/bin installation (Unix).
Under Linux OS you need to install GDAL binaries by using:
sudo apt-get install gdal-bin
To further customize the plotKML options, consider putting:
library(plotKML); plotKML.env(..., show.env = FALSE)
in your "/etc/Rprofile.site".
Tomislav Hengl, Dylan Beaudette
ImageMagick (http://imagemagick.org)
GDAL (http://gdal.org)
SAGA GIS (http://www.saga-gis.org)
Python (http://python.org)
## Not run: ## look for paths:
library(gdalUtils)
pts <- paths()
pts
plotKML.env(silent = FALSE)
gdalwarp <- get("gdalwarp", envir = plotKML.opts)
## if missing you need to install it!
system(paste(gdalwarp, "--help-general"))
system(paste(gdalwarp, "--formats"), intern = TRUE)
## End(Not run)
plotKML.env(show.env = FALSE)
get("home_url", envir = plotKML.opts)