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#' gdalsrsinfo
#'
#' R wrapper for gdalsrsinfo: lists info about a given SRS in number of formats (WKT, PROJ.4, etc.)
#'
#' @param srs_def Character. A raster dataset name. It can be either file name.
#' @param p Logical. Pretty-print where applicable (e.g. WKT).
#' @param V Logical. Validate SRS.
#' @param o Character. Output type ("default"|"all"|"wkt_all"|"proj4"|"wkt"|"wkt_simple"|"wkt_noct"|"wkt_esri"|"mapinfo"|"xml")
#' @param as.CRS Logical. Return a CRS object? Default=FALSE.
## @param additional_commands Character. Additional commands to pass directly to gdalsrsinfo.
#' @param ignore.full_scan Logical. If FALSE, perform a brute-force scan if other installs are not found. Default is TRUE.
#' @param verbose Logical. Enable verbose execution? Default is FALSE.
#'
#' @return character
#' @author Jonathan A. Greenberg (\email{gdalUtils@@estarcion.net}) and Matteo Mattiuzzi (wrapper) and Frank Warmerdam (GDAL lead developer).
#' @details 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 (\url{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.
#'
#' @references \url{http://www.gdal.org/gdalsrsinfo.html}
#'
#' @examples
#' # 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)
#' }
#' @import sp
#' @export
gdalsrsinfo <- function(srs_def,p,V,o,
# additional_commands,
as.CRS=FALSE,
ignore.full_scan=TRUE,
verbose=FALSE)
{
if(as.CRS) o <- "proj4"
parameter_values <- as.list(environment())
if(verbose) message("Checking gdal_installation...")
gdal_setInstallation(ignore.full_scan=ignore.full_scan,verbose=verbose)
if(is.null(getOption("gdalUtils_gdalPath"))) return()
# Start gdalinfo setup
parameter_variables <- list(
logical = list(
varnames <- c("p","V")),
vector = list(
varnames <- NULL),
scalar = list(
varnames <- c("sd")),
character = list(
varnames <- c("o","srs_def")),
repeatable = list(
varnames <- NULL)
)
parameter_order <- c(
"p","V","o","srs_def")
parameter_noflags <- c("srs_def")
executable <- "gdalsrsinfo"
# End gdalinfo setup
cmd <- gdal_cmd_builder(
executable=executable,
parameter_variables=parameter_variables,
parameter_values=parameter_values,
parameter_order=parameter_order,
parameter_noflags=parameter_noflags)
if(verbose) message(paste("GDAL command being used:",cmd))
cmd_output <- system(cmd,intern=TRUE)
if(verbose) { message(cmd_output) }
if(as.CRS)
{
return(CRS(gsub("'","",cmd_output)))
} else
{
return(cmd_output)
}
}
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