View source: R/00_warpgeneral.R
gdal_raster_data | R Documentation |
The warper is used to convert source/s to an output file or to data in memory.
gdal_raster_data(
dsn,
target_crs = NULL,
target_dim = NULL,
target_ext = NULL,
target_res = NULL,
resample = "near",
bands = 1L,
band_output_type = NULL,
options = character()
)
gdal_raster_dsn(
dsn,
target_crs = NULL,
target_dim = NULL,
target_ext = NULL,
target_res = NULL,
resample = "near",
bands = NULL,
band_output_type = NULL,
options = character(),
out_dsn = tempfile(fileext = ".tif")
)
gdal_raster_image(
dsn,
target_crs = NULL,
target_dim = NULL,
target_ext = NULL,
target_res = NULL,
resample = "near",
bands = NULL,
band_output_type = NULL,
options = character()
)
dsn |
data sources, files, urls, db strings, vrt, etc |
target_crs |
projection of the target grid |
target_dim |
dimension of the target grid |
target_ext |
extent of the target grid |
target_res |
resolution of the target grid |
resample |
resampling algorithm used |
bands |
band or bands to include, default is first band only (use NULL or a value less that one to obtain all bands) |
band_output_type |
specify the band type, see vapour_read_raster |
options |
general options passed to gdal warper |
out_dsn |
use with gdal_raster_dsn optionally set the output file name (or one will be generated) |
Two functions 'gdal_raster_data' and 'gdal_raster_dsn' act like the gdalwarp command line tool, a convenience third function 'gdal_raster_image()' works especially for image data.
pixel values in a list vector per band, or a list of file paths
dsn <- system.file("extdata/sst.tif", package = "vapour")
par(mfrow = c(2, 2))
## do nothing, get native
X <- gdal_raster_data(dsn)
## set resolution (or dimension, extent, crs, or combination thereof - GDAL
## will report/resolve incompatible opts)
X1 <- gdal_raster_data(dsn, target_res = 1)
## add a cutline, and cut to it using gdal warp args
cutline <- system.file("extdata/cutline_sst.gpkg", package = "vapour")
X1c <- gdal_raster_data(dsn, target_res = .1, options = c("-cutline",cutline, "-crop_to_cutline" ))
## warp whole grid to give res
X2 <- gdal_raster_data(dsn, target_res = 25000, target_crs = "EPSG:32755")
## specify exactly (as per vapour originally)
X3 <- gdal_raster_data(dsn, target_ext = c(-1, 1, -1, 1) * 8e6,
target_dim = c(512, 678), target_crs = "+proj=stere +lon_0=147 +lat_0=-90")
X4 <- gdal_raster_dsn(dsn, out_dsn = tempfile(fileext = ".tif"))
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