R/rowSums.R

In rspatial/terra: Spatial Data Analysis

#Author: Robert J. Hijmans
#Date : April 2015
#Version 1.0
#Licence GPL v3


setMethod("rowSums", signature(x="SpatRaster"), 
	function(x, na.rm = FALSE, dims = 1L, ...) {
	
		nl <- nlyr(x)
		nc <- ncol(x)
		readStart(x)
		on.exit(readStop(x))
		b <- blocks(x, n=4)
		s <- vector("list", b$n)
		for (i in 1:b$n) {
			v <- readValues(x, row=b$row[i], nrows=b$nrows[i])
			s[[i]] <- .colSums(v, nc, b$nrows[i]*nl, na.rm=na.rm)
		}
		s <- t(matrix(unlist(s), nrow=nl, byrow=TRUE))
		colnames(s) <- names(x)
		s
	}
)


setMethod("colSums", signature(x="SpatRaster"), 
	function(x, na.rm = FALSE, dims = 1L, ...) {
		nl <- nlyr(x)
		nc <- ncol(x)
		readStart(x)
		on.exit(readStop(x))
		b <- blocks(x, n=4)
		s <- matrix(nrow=b$n, ncol=nc*nl) 
		for (i in 1:b$n) {
			v <- readValues(x, row=b$row[i], nrows=b$nrows[i], mat=TRUE)
			for (j in 1:nl) {
				k <- (j-1) * nc + 1
				k <- k:(k+nc-1)
				s[i, k] <- .colSums(matrix(v[,j], nrow=b$nrows[i], byrow=TRUE), b$nrows[i], nc, na.rm=na.rm)
			}
		}
		s <- matrix(.colSums(s, nrow(s), ncol(s), na.rm=na.rm), ncol=nl)
		colnames(s) <- names(x)
		return(s)
	}
)



setMethod("rowMeans", signature(x="SpatRaster"), 
	function(x, na.rm = FALSE, dims = 1L, ...) {
	
		nl <- nlyr(x)
		nc <- ncol(x)
		readStart(x)
		on.exit(readStop(x))
		b <- blocks(x, n=4)
		s <- vector("list", b$n)
		for (i in 1:b$n) {
			v <- readValues(x, row=b$row[i], nrows=b$nrows[i])
			s[[i]] <- .colMeans(v, nc, b$nrows[i]*nl, na.rm=na.rm)
		}
		s <- t(matrix(unlist(s), nrow=nl, byrow=TRUE))
		colnames(s) <- names(x)
		s
	}
)


setMethod("colMeans", signature(x="SpatRaster"), 
	function(x, na.rm = FALSE, dims = 1L, ...) {
		nl <- nlyr(x)
		nc <- ncol(x)
		readStart(x)
		on.exit(readStop(x))
		b <- blocks(x, n=4)
		s <- matrix(nrow=b$n, ncol=nc*nl) 
		for (i in 1:b$n) {
			v <- readValues(x, row=b$row[i], nrows=b$nrows[i], mat=TRUE)
			for (j in 1:nl) {
				k <- (j-1) * nc + 1
				k <- k:(k+nc-1)
				s[i, k] <- .colMeans(matrix(v[,j], nrow=b$nrows[i], byrow=TRUE), b$nrows[i], nc, na.rm=na.rm)
			}
		}
		s <- matrix(.colSums(s, nrow(s), ncol(s), na.rm=na.rm), ncol=nl)
		colnames(s) <- names(x)
		return(s)
	}
)