gdalsrsinfo
R wrapper for gdalsrsinfo: lists info about a given SRS in number of formats (WKT, PROJ.4, etc.)
gdalsrsinfo( srs_def, p, V, o, as.CRS = FALSE, ignore.full_scan = TRUE, verbose = FALSE )
srs_def |
Character. A raster dataset name. It can be either file name. |
p |
Logical. Pretty-print where applicable (e.g. WKT). |
V |
Logical. Validate SRS. |
o |
Character. Output type ("default"|"all"|"wkt_all"|"proj4"|"wkt"|"wkt_simple"|"wkt_noct"|"wkt_esri"|"mapinfo"|"xml") |
as.CRS |
Logical. Return a CRS object? Default=FALSE. |
ignore.full_scan |
Logical. If FALSE, perform a brute-force scan if other installs are not found. Default is TRUE. |
verbose |
Logical. Enable verbose execution? Default is FALSE. |
This is an R wrapper for the 'gdalsrsinfo' function that is part of the Geospatial Data Abstraction Library (GDAL). It follows the parameter naming conventions of the original function, with some modifications to allow for more R-like parameters. For all parameters, the user can use a single character string following, precisely, the gdalinfo format (http://www.gdal.org/gdalsrsinfo.html), or, in some cases, can use R vectors to achieve the same end.
This function assumes the user has a working GDAL on their system. If the "gdalUtils_gdalPath" option has been set (usually by gdal_setInstallation), the GDAL found in that path will be used. If nothing is found, gdal_setInstallation will be executed to attempt to find a working GDAL.
If as.CRS is set to TRUE, 'o' will automatically be set to "proj4" and the output will be coerced to a CRS object for use with sp.
character
Jonathan A. Greenberg (gdalUtils@estarcion.net) and Matteo Mattiuzzi (wrapper) and Frank Warmerdam (GDAL lead developer).
# We'll pre-check to make sure there is a valid GDAL install.
# Note this isn't strictly neccessary, as executing the function will
# force a search for a valid GDAL install.
gdal_setInstallation()
valid_install <- !is.null(getOption("gdalUtils_gdalPath"))
if(valid_install)
{
src_dataset <- system.file("external/tahoe_highrez.tif", package="gdalUtils")
# Command-line gdalsrsinfo call:
# gdalsrsinfo -o proj4 tahoe_highrez.tif
gdalsrsinfo(src_dataset,o="proj4",verbose=TRUE)
# Export as CRS:
gdalsrsinfo(src_dataset,as.CRS=TRUE,verbose=TRUE)
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