raster-package.raster(x, ...)raster(x, values=FALSE, band=1, ...)
x character. Name of raster file
values logical. If TRUE, RasterLayer values are read into memory with readAll
band integer. Band number in case of a file of multiple bands, default = 1
... additional arguments.
}
Additional arguments:
native Logical. Default is FALSE except when package rgdal is missing. If TRUE, reading and writing of IDRISI, BIL, BSQ, BIP, and ArcAscii files is done with native (raster package) drivers, rather then via rgdal. 'raster', RSAGA, and netcdf format files are always read with native drivers.
}
More additional arguments, that are only meaningful with netCDF files (CF convention):
xvar character. The x variable (e.g. 'longitude' or 'x')
yvar character. The y variable (e.g. 'latitude' or 'y')
varname character. The variable name (e.g. 'altitide' or 'precipitation')
band integer > 0. The 'band' (layer) number of the file. E.g., the 'time' variable (if there are any) (default=NA)
}
If x is a character value, it should be a filename of a file that the raster package can read. Supported file types are the 'native' raster package format and those that can be read via rgdal. See readGDAL help for supported file types.
To read netCDF files, the RNetCDF package needs to have been installed. For netCDF files, the function will try to guess values for xar and yvar if they are not supplied. netCDF data can only be read if the data are stored in 2 (x and y) or 3 (x, y, and time) dimensions.
2) Create a RasterLayer object from scratch
raster(nrows=180, ncols=360, xmn=-180, xmx=180, ymn=-90, ymx=90, crs="+proj=longlat +datum=WGS84")
nrows number of rows
ncols number of columns
xmn minimum x coordinate (left border)
xmx maximum x coordinate (right border)
ymn minimum y coordinate (bottom border)
ymx maximum y coordinate (top border)
crs Character or object of class CRS. PROJ4 type description of a Coordinate Reference System (map projection)
}
(item x is 'missing' in this case)
3) Create a RasterLayer object from an Extent object
raster(x, nrows=10, ncols=10, crs=NA)
x Extent object
nrows number of rows
ncols number of columns
crs PROJ4 type description of a map projection
}
4) Create a RasterLayer object from a RasterLayer object. This copies the parameters of a RasterLayer object to a new RasterLayer,
but does not copy the filename nor the data associated with the original Raster object.
raster(x, filename="", values=NULL)
x a Raster* object
filename new filename for new RasterLayer
values If not NULL it is used to set values to new object. Either pass a vector of length == ncells(x), or a single number
}
5) Create a RasterLayer object from a RasterStack or RasterBrick object.
raster(x, index=0)
x a RasterStack, SpatialPixels* or SpatialGrid* object
layer Integer. The layer from which to copy values to the new RasterLayer, if layer > 0.
}
6) Create a RasterLayer object from a SpatialPixels* or SpatialGrid* object.
raster(x, index=0)
x a RasterStack, SpatialPixels* or SpatialGrid* object
layer Integer. the layer from which to copy values to the new RasterLayer, if layer > 0.
}
7) Create a RasterLayer object from a matrix. The default extent is set to be between 0 and 1 in the x and y direction but can be changed at creation of the RasterLayer object or later. You can also provide a projection.
function(x, xmn=0, xmx=1, ymn=0, ymx=1, crs=NA)
x a matrix
xmn minimum x coordinate (left border)
xmx maximum x coordinate (right border)
ymn minimum y coordinate (bottom border)
ymx maximum y coordinate (top border)
crs PROJ4 type description of a map projection
}getValues), xyValues and related functions.
You can assign new values with setValues and with replacement.stack, getValues#from file
r <- raster(system.file("external/test.grd", package="raster"))
logo <- raster(system.file("external/rlogo.grd", package="raster"), values=TRUE)
#from scratch
r1 <- raster(nrows=108, ncols=21, xmn=0, xmx=10)
#from an Extent object
e <- extent(r)
r2 <- raster(e)
#from another Raster* object
r3 <- raster(r)
s <- stack(r, r)
r3 <- raster(s)Run the code above in your browser using DataLab