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).
rasterFromXYZ(xyz, res=c(NA,NA), crs=NA, digits=5)matrix or data.frame with at least three columns: x and y coordinates, and values (z). There may be several 'z' variables (columns)
numeric. The x and y cell resolution (optional)
CRS object or a character string describing a projection and datum in PROJ.4 format
numeric, indicating the requested precision for detecting whether points are on a regular grid (a low number of digits is a low precision)
RasterLayer or RasterBrick
See rasterize for points that are not on a regular grid
# 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]
# }
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