raster (version 2.6-7)

rasterFromXYZ: Create a Raster* object from x, y, z values

Description

Create a Raster* object from x, y and z values. x and y represent spatial coordinates and must be on a regular grid. If the resolution is not supplied, it is assumed to be the minimum distance between x and y coordinates, but a resolution of up to 10 times smaller is evaluated if a regular grid can otherwise not be created. z values can be single or multiple columns (variables) If the exact properties of the RasterLayer are known beforehand, it may be preferable to simply create a new RasterLayer with the raster function instead, compute cell numbers and assign the values with these (see example below).

Usage

rasterFromXYZ(xyz, res=c(NA,NA), crs=NA, digits=5)

Arguments

xyz

matrix or data.frame with at least three columns: x and y coordinates, and values (z). There may be several 'z' variables (columns)

res

numeric. The x and y cell resolution (optional)

crs

CRS object or a character string describing a projection and datum in PROJ.4 format

digits

numeric, indicating the requested precision for detecting whether points are on a regular grid (a low number of digits is a low precision)

Value

RasterLayer or RasterBrick

See Also

See rasterize for points that are not on a regular grid

Examples

Run this code
# NOT RUN {
r <- raster(nrow=10, ncol=10, xmn=0, xmx=10, ymn=0, ymx=10, crs=NA)
r[] <- runif(ncell(r))
r[r<0.5] <- NA
xyz <- rasterToPoints(r)

r2 <- rasterFromXYZ(xyz)

# equivalent to:
r3 <- raster(nrow=10, ncol=10, xmn=0, xmx=10, ymn=0, ymx=10)
cells <- cellFromXY(r3, xyz[,1:2])
r3[cells] <- xyz[,3]
# }

Run the code above in your browser using DataCamp Workspace