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# first argument of image generic _needs_ to be x!
image.SpatialPixelsDataFrame = function(x, ...)
image(as(x, "SpatialGridDataFrame"), ...)
image.SpatialGridDataFrame = function(x, attr = 1, xcol = 1, ycol = 2,
col = heat.colors(12),
red=NULL, green=NULL, blue=NULL, axes = FALSE, xlim = NULL,
ylim = NULL, add = FALSE, ..., asp = NA,
setParUsrBB=FALSE, interpolate = FALSE, angle = 0,
useRasterImage=TRUE) {
if (!add)
plot(as(x, "Spatial"),
xlim = xlim, ylim = ylim, axes = axes, asp = asp, ...,
setParUsrBB=setParUsrBB)
if (exists("rasterImage") && useRasterImage) {
bb <- bbox(x)
scl <- function(x) (x - min(x, na.rm = TRUE)) /
diff(range(x, na.rm = TRUE))
}
if (is.null(red)) {
if (exists("rasterImage") && useRasterImage) {
x <- x[attr]
NAs <- is.na(x[[1]])
m <- scl(t(matrix(x[[1]], x@grid@cells.dim[1],
x@grid@cells.dim[2])))
m <- matrix(col[as.vector(m) * (length(col)-1) + 1],
nrow(m), ncol(m))
## if missing, set to white
m[is.na(m)] <- rgb(1, 1, 1)
rasterImage(m, bb[1,1], bb[2,1], bb[1,2], bb[2,2],
interpolate = interpolate, angle = angle)
} else {
image(as.image.SpatialGridDataFrame(x[attr], xcol, ycol),
add = TRUE, col = col, ...)
}
} else {
if (is.null(green) || is.null(blue))
stop("all colour bands must be given")
# modified to handle NAs in input (typical for coercion of Spatial Pixels
# to Spatial Grid)
if (exists("rasterImage") && useRasterImage) {
xd <- x@data[, c(red, green, blue)]
NAs <- is.na(xd[, 1]) | is.na(xd[, 2]) | is.na(xd[, 3])
if (any(NAs))
xd <- xd[!NAs, ]
## create RGBs (using alpha=1 by default)
RGBs <- rgb(xd, max = 255)
if (any(NAs)) {
z <- rep(NA, length(NAs))
z[!NAs] <- RGBs
RGBs <- z
}
cv <- coordinatevalues(getGridTopology(x))
m <- t(matrix(RGBs, x@grid@cells.dim[1],
x@grid@cells.dim[2], byrow = FALSE))
rasterImage(m, bb[1,1], bb[2,1], bb[1,2], bb[2,2],
interpolate = interpolate, angle = angle)
} else {
xd <- x@data[,c(red, green, blue)]
NAs <- is.na(xd[,1]) | is.na(xd[,2]) | is.na(xd[,3])
if (any(NAs)) xd <- xd[!NAs,]
RGBs <- rgb(xd, max=255)
if (any(NAs)) {
z <- rep(NA, length(NAs))
z[!NAs] <- RGBs
RGBs <- z
}
fcols <- factor(RGBs)
cv <- coordinatevalues(getGridTopology(x))
m <- matrix(as.integer(fcols), x@grid@cells.dim[1],
x@grid@cells.dim[2], byrow=FALSE)
res <- list(x=cv[[xcol]], y=sort(cv[[ycol]]), z=m[,ncol(m):1])
image(res, col=levels(fcols), add = TRUE, ...)
}
}
}
contour.SpatialGridDataFrame = function(x, attr = 1, xcol = 1, ycol = 2,
col = 1, add = FALSE, xlim = NULL, ylim = NULL,
axes = FALSE, ..., setParUsrBB = FALSE) {
if (!add)
plot(as(x, "Spatial"),
xlim = xlim, ylim = ylim, axes = axes, ...,
setParUsrBB=setParUsrBB)
contour(as.image.SpatialGridDataFrame(x[attr], xcol, ycol), col = col,
add = TRUE, ...)
}
contour.SpatialPixelsDataFrame = function(x, ...)
contour(as(x, "SpatialGridDataFrame"), ...)
as.image.SpatialGridDataFrame = function(x, xcol = 1, ycol = 2, attr = 1) {
cv = coordinatevalues(getGridTopology(x))
m = as(x[attr], "matrix")
list(x = cv[[xcol]], y = sort(cv[[ycol]]), z = m[,ncol(m):1])
}
# contributed by Michael Sumner 24 Oct 2007
image2Grid <- function (im, p4 = as.character(NA), digits=10)
{
if (!all(c("x", "y", "z") %in% names(im)))
stop("image must have components x, y, and z")
# RSB reversed test order
lux <- length(unique(signif(diff(im$x), digits=digits)))
luy <- length(unique(signif(diff(im$y), digits=digits)))
if (lux > 1 || luy > 1) stop("x or y not equally spaced")
# RSB check for equal spacing
cells.dim <- dim(im$z)
xx <- im$x
yy <- im$y
lx <- length(xx)
ly <- length(yy)
if (all(c(lx, ly) == (cells.dim + 1))) {
##print("corners")
if (!(lx == nrow(im$z) + 1 && ly == ncol(im$z) + 1 ) )
stop("dimensions of z are not length(x)(-1) times length(y)(-1)")
xx <- xx[-1] - diff(xx[1:2])/2
yy <- yy[-1] - diff(yy[1:2])/2
} else {
if (!(lx == nrow(im$z) && ly == ncol(im$z)))
stop("dimensions of z are not length(x) times length(y)")
}
SpatialGridDataFrame(GridTopology(c(xx[1], yy[1]), c(diff(xx[1:2]),
diff(yy[1:2])), cells.dim), data.frame(z = as.vector(im$z[,
ncol(im$z):1])), proj4string = CRS(p4))
}
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