https://github.com/cran/RandomFields
Tip revision: f082dc8b0950aff830aab568d89a74af74f10e14 authored by Martin Schlather on 12 August 2014, 00:00:00 UTC
version 3.0.35
version 3.0.35
Tip revision: f082dc8
Methods-RFsp.R
AddUnits <- function(params) {
## see also empvario.R and fitgauss.R, if changed
coords <- RFoptions()$general
return(c(params, list(coord.units=coords$coord_units,
variab.units=coords$variab_units)))
}
compareGridBooleans <- function(grid, gridtmp) {
if (!missing(grid) && length(grid)>0 && grid!=gridtmp)
message(paste("you specified grid=", as.character(grid),
" but isGridded(data)=", as.character(gridtmp),
"; grid is set to ", as.character(gridtmp), sep=""))
}
## Generate Objects ########################################################
RFspatialGridDataFrame <- function(grid, data,
proj4string = CRS(as.character(NA)),
RFparams=list()) {
grid <- convert2GridTopology(grid)
tmp <- SpatialGridDataFrame(grid=grid, data=data, proj4string=proj4string)
tmp <- as(tmp, "RFspatialGridDataFrame")
tmp@.RFparams <- AddUnits(RFparams)
validObject(tmp)
return(tmp)
}
RFspatialPointsDataFrame <- function(coords, data, coords.nrs = numeric(0),
proj4string = CRS(as.character(NA)),
match.ID = TRUE, bbox = NULL,
coord.units = NULL,
variab.units = NULL,
RFparams=list()) {
if (is.null(bbox)) {
bbox <- t(apply(coords, 2, range))
colnames(bbox) <- c("min", "max")
}
tmp <- SpatialPointsDataFrame(coords=coords, data=data, coords.nrs=coords.nrs,
proj4string=proj4string,
match.ID=match.ID, bbox=bbox)
tmp <- as(tmp, "RFspatialPointsDataFrame")
tmp@.RFparams <- AddUnits(RFparams)
# if (!is.null(dimnames(coords)))
# dimnames(tmp@coords) <- dimnames(coords)
validObject(tmp)
return(tmp)
}
RFgridDataFrame <- function(data, grid,
RFparams=list()){
grid <- convert2GridTopology(grid)
data <- as.data.frame(data)
return(new("RFgridDataFrame", data=data, grid=grid,
.RFparams=AddUnits(RFparams)))
}
RFpointsDataFrame <- function(data=data.frame(NULL), coords=as.numeric(NULL),
RFparams=list()){
data <- as.data.frame(data)
if (is.null(dim(coords))) coords <- matrix(coords)
return(new("RFpointsDataFrame", data=data, coords=coords,
.RFparams=AddUnits(RFparams)))
}
convert2GridTopology <- function(grid){
if (!is(grid, "GridTopology")) {
if (is.null(dim(grid)))
grid <- matrix(grid, ncol=1)
stopifnot(nrow(grid)==3)
grid <- GridTopology(cellcentre.offset=grid[1,],
cellsize=grid[2,],
cells.dim=grid[3,])
}
return(grid)
}
## Coerce Objects #########################################################
setAs("RFspatialGridDataFrame", "RFspatialPointsDataFrame",
function(from, to) RFspatialPointsDataFrame(coords=coordinates(from),
data=from@data,
RFparams=from@.RFparams))
setAs("RFspatialPointsDataFrame", "RFspatialGridDataFrame",
function(from, to) RFspatialGridDataFrame(grid=points2grid(from),
data=from@data,
RFparams=from@.RFparams))
setAs("RFpointsDataFrame", "RFgridDataFrame",
function(from, to) {
tmp.coord <- SpatialPoints(cbind(from@coords, 1:length(from@coords)))
tmp.grid <- points2grid(tmp.coord)
grid <- convert2GridTopology(tmp.grid[,1, drop=FALSE])
RFgridDataFrame(data=from@data, grid=grid, RFparams=from@.RFparams)
})
setAs("RFgridDataFrame", "RFpointsDataFrame",
function(from, to) {
coords <- GridTopology2gridVectors(from@grid)[[1]]
RFpointsDataFrame(data=from@data, coords=coords,
RFparams=from@.RFparams)
})
brack <- function(x, i, j, ..., drop=FALSE) {
dots = list(...)
if (length(dots)>0) warning("dots are ignored")
has.variance <- !is.null(x@.RFparams$has.variance) && x@.RFparams$has.variance
if (missing(j)) {
x@data <- x@data[i]#, drop=drop]
n <- x@.RFparams$n
v <- x@.RFparams$vdim
if (!is.numeric(i)) {
if (is.logical(i)) {
i <- which(i)
} else {
stopifnot(all(i %in% colnames(x@data)))
i <- match(i, colnames(x@data))
}
}
if (! (length(unique(table(i%%v, rep(0, length(i)))))==1) )
stop(paste("for each variable selected, the same number of repetitions ",
"must be selected; you selected columns ",
paste(i, collapse=","), " but vdim=",v," and n=",n, sep=""))
x@.RFparams$vdim <- v.new <- length(unique(i%%v))
if (ret.has.var <- has.variance && any(i > n*v))
x@.RFparams$has.variance <- ret.has.var
x@.RFparams$n <- length(i) / v.new - ret.has.var
}
else
x@data <- x@data[i,j]
return(x)
}
## methods 'as.matrix' and 'cbind' as in the 'sp' package
as.matrix.RFgridDataFrame <-
as.matrix.RFspatialGridDataFrame <- function(x, ...) {
z <- as.array.RFgridDataFrame(x, ...)
if (length(dim(z)) > 2)
stop("the data set cannot be turned into a matrix. Try 'as.array'")
z
}
as.array.RFgridDataFrame <-
as.array.RFspatialGridDataFrame <- function(x, ...) {
z <- as.matrix(x@data)
dim <- c(x@grid@cells.dim, x@.RFparams$vdim, x@.RFparams$n)
dim <- dim[dim > 1]
if (length(dim) == 1) return(as.vector(z))
dim(z) <- dim
z
}
as.vector.RFgridDataFrame <-
as.vector.RFspatialGridDataFrame <- function(x, ...) {
as.vector(as.matrix(x@data))
}
#setAs("RFgridDataFrame", "matrix", gridtomatrix)
#setAs("RFspatialGridDataFrame", "matrix", gridtomatrix)
cbind_RFsp = function(...) { ##copied from sp package
stop.ifnot.equal = function(a, b) {
res = all.equal(a@grid, b@grid)
if (!is.logical(res) || !res)
stop("grid topology is not equal")
}
grds = list(...)
ngrds = length(grds)
if (ngrds < 1)
stop("no arguments supplied")
if (ngrds == 1)
return(grds[[1]])
## verify matching topology:
sapply(grds[2:ngrds], function(x) stop.ifnot.equal(x, grds[[1]]))
gr = grds[[1]]
gr@data = do.call(base::cbind, lapply(grds, function(x) x@data))
##for (i in 2:ngrds)
## gr@data = cbind(gr@data, grds[[i]]@data)
if (is(gr, "RFspatialGridDataFrame"))
proj4string(gr) = CRS(proj4string(grds[[1]]))
gr
}
cbind_RFspPoints = function(...) { ##copied from sp package
stop.ifnot.equal = function(a, b) {
res = all.equal(a@coords, b@coords)
if (!is.logical(res) || !res)
stop("coords are not equal")
}
grds = list(...)
ngrds = length(grds)
if (ngrds < 1)
stop("no arguments supplied")
if (ngrds == 1)
return(grds[[1]])
## verify matching topology:
sapply(grds[2:ngrds], function(x) stop.ifnot.equal(x, grds[[1]]))
gr = grds[[1]]
gr@data = do.call(base::cbind, lapply(grds, function(x) x@data))
##for (i in 2:ngrds)
## gr@data = cbind(gr@data, grds[[i]]@data)
gr
}
cbind.RFspatialGridDataFrame <- function(...)
cbind_RFsp(...)
cbind.RFgridDataFrame <- function(...)
cbind_RFsp(...)
cbind.RFspatialPointsDataFrame <- function(...)
cbind_RFspPoints(...)
cbind.RFpointsDataFrame <- function(...)
cbind_RFspPoints(...)
## convert 'RFsp' objects to conventional format of 'RFsimulate',
## i.e. data is an array and x a matrix of coordinates or gridtriple defs.
spatialGridObject2conventional <- function(obj) {
timespacedim <- length(obj@grid@cells.dim)
data <- as.matrix(obj@data)
has.variance <- !is.null(obj@.RFparams$has.variance) &&
obj@.RFparams$has.variance
dim(data) <- NULL
dim(data) <- c(obj@grid@cells.dim,
obj@.RFparams$vdim,
obj@.RFparams$n + has.variance)
if (timespacedim > 1)
data <- reflection(data, 2, drop=FALSE)
## re-ordering of 2nd space dimension since in sp objects, the 2nd dimension
## is in decreasing order
vdim_close_together <- FALSE
if (vdim_close_together) {
perm <- c(timespacedim+1, 1:timespacedim, timespacedim+2)
data <- aperm(data, perm=perm)
}
## new order of dimensions: vdim, space-time-dims, n
is.dim <- dim(data) != 1
if (sum(is.dim) > 1)
dim(data) <- dim(data)[is.dim] # drop dimensions length 1
else
dim(data) <- NULL
x <- rbind(obj@grid@cellcentre.offset,
obj@grid@cellsize,
obj@grid@cells.dim)
# Print(obj, "TTTT", is(obj, "RFsp"))
if (dimensions(obj)==1 ||
!("coords.T1" %in% names(obj@grid@cellcentre.offset)))
T <- NULL
else {
idxT1 <- which("coords.T1" == names(obj@grid@cellcentre.offset))
T <- x[, idxT1]
x <- x[, -idxT1, drop=FALSE]
}
.RFparams <- obj@.RFparams
return(list(data=data, x=x, T=T, .RFparams=.RFparams))
}
spatialPointsObject2conventional <- function(obj) {
data <- as.matrix(obj@data)
has.variance <- !is.null(obj@.RFparams$has.variance) && obj@.RFparams$has.variance
dim(data) <- NULL
dim(data) <- c(nrow(obj@data), obj@.RFparams$vdim, obj@.RFparams$n + has.variance)
vdim_close_together <- FALSE
if (vdim_close_together) {
perm <- c(2,1,3)
data <- aperm(data, perm=perm)
}
is.dim <- dim(data) != 1
dim(data) <- if (sum(is.dim) > 1) dim(data)[is.dim] else NULL
x <- obj@coords
dimnames(x) <- NULL
if (dimensions(obj)==1 || !("coords.T1" %in% colnames(obj@coords)))
T <- NULL
else {
idxT1 <- which("coords.T1" == colnames(obj@coords))
T <- points2grid(RFpointsDataFrame(coords=unique(x[, idxT1]),
data=double(length(unique(x[, idxT1]))),
RFparams=obj@.RFparams))
dimdata <- dim(data)
if (obj@.RFparams$vdim==1)
dim(data) <- c(dimdata[1]/T@cells.dim, T@cells.dim, dimdata[-1])
else
dim(data) <- c(dimdata[1], dimdata[2]/T@cells.dim,
T@cells.dim, dimdata[-c(1,2)])
x <- x[1:(nrow(x)/T@cells.dim), -idxT1, drop=FALSE]
T <- c(T@cellcentre.offset, T@cellsize, T@cells.dim)
}
return(list(data=data, x=x, T=T, .RFparams=obj@.RFparams))
}
setGeneric(name = "RFspDataFrame2conventional",
def = function(obj)
standardGeneric("RFspDataFrame2conventional") )
setMethod("RFspDataFrame2conventional", signature=c("RFspatialGridDataFrame"),
function(obj)
spatialGridObject2conventional(obj))
setMethod("RFspDataFrame2conventional", signature=c("RFgridDataFrame"),
function(obj)
spatialGridObject2conventional(obj))
setMethod("RFspDataFrame2conventional",
signature=c("RFspatialPointsDataFrame"),
function(obj)
spatialPointsObject2conventional(obj))
setMethod("RFspDataFrame2conventional",
signature=c("RFpointsDataFrame"),
function(obj)
spatialPointsObject2conventional(obj))
rfspDataFrame2dataArray_generic <- function(obj) {
has.variance <- !is.null(obj@.RFparams$has.variance) && obj@.RFparams$has.variance
arr <- unlist(obj@data)
names(arr) <- NULL
grid.length.v <- obj@grid@cells.dim
dim(arr) <- c(grid.length.v, # spatial and time dim
obj@.RFparams$vdim, # vdim
obj@.RFparams$n + has.variance) # repetitions
timespacedim <- length(grid.length.v)
if (timespacedim > 1)
arr <- reflection(arr, 2, drop=FALSE)
## re-ordering of 2nd space dimension since in sp objects, the 2nd dimension
## is in decreasing order
return(arr)
}
setGeneric(name = "RFspDataFrame2dataArray",
def = function(obj) standardGeneric("RFspDataFrame2dataArray"))
setMethod("RFspDataFrame2dataArray", signature=c("RFspatialGridDataFrame"),
function(obj) rfspDataFrame2dataArray_generic(obj))
## used in plot method
setMethod("RFspDataFrame2dataArray", signature=c("RFgridDataFrame"),
function(obj) rfspDataFrame2dataArray_generic(obj))
## convert GridTopology or 3-row matrix to list of vectors
setGeneric(name = "GridTopology2gridVectors",
def = function(grid)
standardGeneric("GridTopology2gridVectors"))
setMethod("GridTopology2gridVectors",
signature=c("GridTopology"),
function(grid) {
len <- length(grid@cells.dim)
x <- list()
for (i in 1:len)
x[[i]] <- seq(from = grid@cellcentre.offset[i],
to = grid@cellcentre.offset[i] +
((grid@cells.dim[i]-1) * grid@cellsize[i]),
length = grid@cells.dim[i])
return(x)
})
setMethod("GridTopology2gridVectors",
signature=c("matrix"),
function(grid) {
stopifnot(nrow(grid)==3)
x <- list()
for (i in 1:ncol(grid))
x[[i]] <- seq(from = grid[1,i],
to = grid[1,i] + (grid[3,i]-1) * grid[2,i],
length= grid[3,i])
return(x)
})
## convert GridTopology to 3-row matrix
as.matrix.GridTopology <- function(x, ...)
return(rbind(x@cellcentre.offset, x@cellsize, x@cells.dim))
## extract or calculate! coordinates;
setMethod(f = "coordinates", signature="RFpointsDataFrame",
definition=function(obj) return(obj@coords) )
setMethod(f = "coordinates", signature="RFgridDataFrame",
definition=function(obj) coordinates(as(obj, "RFpointsDataFrame")) )
extract.kriging.variance <- function(x){
stopifnot(is(x, "RFsp"))
has.variance <- !is.null(x@.RFparams$has.variance) && x@.RFparams$has.variance
if (!has.variance) return(NULL)
return(x[(x@.RFparams$n*x@.RFparams$vdim + 1):(ncol(x@data))])
}
setGeneric(name = "variance",
def = function(obj) standardGeneric("variance"))
setMethod(f = "variance", signature="RFsp",
definition=function(obj) extract.kriging.variance(obj))
## conventional 'RFsimulate' output to 'RFsp' class
summary.RFpointsDataFrame <- function(object, digits = 6, ...) {
df = data.frame(coordinates=signif(coordinates(object), digits), object@data)
row.names(df) = row.names(object@data)
class(df) <- "summary.RFpointsDataFrame"
df
}
print.summary.RFpointsDataFrame <- function(x, ...)
print.data.frame(x, ...)#
print.RFpointsDataFrame <- function(x, ...) {
sx <- summary.RFpointsDataFrame(x, ...)
cat("Object of class RFpointsDataFrame\n")
print.summary.RFpointsDataFrame(sx) #
invisible(sx)
}
setMethod(f="show", signature="RFpointsDataFrame",
definition=function(object) print.RFpointsDataFrame(object))
summary.RFgridDataFrame <- function(object, ...) {
if (ncol(object@data) > 1) summary(object@data) else summary(object@data[[1]])
}
print.RFgridDataFrame <- function(x, ...) {
cat("Object of class RFgridDataFrame\n")
cat("Grid topology:\n")
print.data.frame(data.frame(cellcentre.offset=x@grid@cellcentre.offset, #
cellsize=x@grid@cellsize,
cells.dim=x@grid@cells.dim, row.names=""))
cat("Points:\n")
print.data.frame(data.frame(coordinates=coordinates(x), x@data)) #
cat("Data summary:\n")
summary.RFgridDataFrame(x, ...)
invisible(x)
}
setMethod(f="show", signature="RFgridDataFrame",
definition=function(object) print.RFgridDataFrame(object))
summary.RFspatialPointsDataFrame <- function(object, ...) summary(object@data)
print.RFspatialPointsDataFrame <- function(x, ...){
if (!hasArg("silent") || !list(...)$silent) {
cat("Object of class 'RFspatialPointsDataFrame'\n")
str(x@data, no.list=TRUE, give.attr=FALSE)#
}
invisible(x@data)
}
setMethod(f="show", signature="RFspatialPointsDataFrame",
definition=function(object) print.RFspatialPointsDataFrame(object))
summary.RFspatialGridDataFrame <- function(object, ...) summary(object@data)
print.RFspatialGridDataFrame <- function(x,...) {
if (!hasArg("silent") || !list(...)$silent) {
cat("Object of class 'RFspatialGridDataFrame'\n")
utils::str(x@data, no.list=TRUE, give.attr=FALSE)#
}
invisible(x@data)
}
setMethod(f="show", signature="RFspatialGridDataFrame",
definition=function(object) print.RFspatialGridDataFrame(object))
## extend methods for 'Spatial' to class 'RFsp'
if (!isGeneric("isGridded"))
setGeneric(name = "isGridded",
def = function(obj)
standardGeneric("isGridded") )
setMethod(f="isGridded", signature="RFsp",
definition=function(obj)
(is(obj, "RFgridDataFrame") || is(obj, "RFspatialGridDataFrame")))
setMethod(f="dimensions", signature="RFsp",
definition=function(obj) {
(getMethod("dimensions", "Spatial")@.Data)(obj)
})
setMethod(f="dimensions", signature="RFspatialDataFrame",
definition=function(obj) {
if (is(obj, "RFdataFrame")) return(1)
else (getMethod("dimensions", "Spatial")@.Data)(obj)
})
setMethod(f="dimensions", signature="RFdataFrame",
definition=function(obj) return(1))
summary.RFsp <- function(object, ...) {
if (is(object, "Spatial"))
return((getMethod("summary", "Spatial")@.Data)(object))
obj = list()
obj[["class"]] = class(object)
#obj[["bbox"]] = bbox(object)
#obj[["is.projected"]] = is.projected(object)
#obj[["proj4string"]] = object@proj4string@projargs
if (is(object, "RFpointsDataFrame"))
obj[["npoints"]] = nrow(object@coords)
if (is(object, "RFgridDataFrame")) {
gr <- object@grid
obj[["grid"]] =
data.frame(cellcentre.offset = gr@cellcentre.offset,
cellsize = gr@cellsize,
cells.dim = gr@cells.dim)
}
if ("data" %in% slotNames(object))
if (nrow(object@data) > 0)
if (ncol(object@data) > 1)
obj[["data"]] = summary(object@data)
else obj[["data"]] = summary(object@data[[1]])
class(obj) = "summary.RFsp"
return(obj)
}
print.summary.RFsp <- function(x, ...){
x <- summary.RFsp(x)
str(x, give.attr=FALSE) #
invisible(x)
}
print.RFsp <- function(x, ...) print.summary.RFsp(summary.RFsp(x, ...))#
## plot methods
## for 1-dim coordinates for grid and points
## for 2-or more dimensional coordinates for grid only
#for (.x in c("RFgridDataFrame", "RFpointsDataFrame"))
# for (.y in c("missing", "RFgridDataFrame", "RFpointsDataFrame"))
# setMethod(f="plot", signature(x=.x, y=.y),
# definition=function(x, y, nmax = 6,
# plot.variance = (!is.null(x@.RFparams$has.variance) &&
# x@.RFparams$has.variance),
# ...)
# plotRFdataFrame(x, y=y, nmax=nmax, plot.variance=plot.variance, ...)
# )
setMethod(f="plot", signature(x="RFdataFrame", y="missing"),
definition=function(x, y, nmax = 6,
plot.variance = (!is.null(x@.RFparams$has.variance) &&
x@.RFparams$has.variance),legend=TRUE,
...)
plotRFdataFrame(x, y=y, nmax=nmax, plot.variance=plot.variance,
legend=legend, ...)
)
setMethod(f="plot", signature(x="RFdataFrame", y="RFdataFrame"),
definition=function(x, y, nmax = 6,
plot.variance = (!is.null(x@.RFparams$has.variance) &&
x@.RFparams$has.variance),legend=TRUE,
...)
plotRFdataFrame(x, y=y, nmax=nmax, plot.variance=plot.variance,
legend=legend, ...)
)
setMethod(f="plot", signature(x="RFspatialDataFrame", y="missing"),
definition=function(
x, y, MARGIN = c(1, 2),
MARGIN.slices = NULL,
n.slices= if (is.null(MARGIN.slices)) 1 else 10,
nmax = 6,
plot.variance = (!is.null(x@.RFparams$has.variance) &&
x@.RFparams$has.variance),
select.variables, # = 1:vdim,
zlim,
legend=TRUE, MARGIN.movie = NULL, ...)
plotRFspatialDataFrame(x=x, y=y, MARGIN=MARGIN,
MARGIN.slices=MARGIN.slices,
n.slices=n.slices, nmax=nmax,
plot.variance = plot.variance,
select=select.variables,
zlim=zlim,
legend=legend,
MARGIN.movie = MARGIN.movie,
...))
setMethod(f="plot",
signature(x="RFspatialDataFrame", y="RFspatialGridDataFrame"),
definition=function(
x, y, MARGIN = c(1, 2),
MARGIN.slices = NULL,
n.slices= if (is.null(MARGIN.slices)) 1 else 10,
nmax = 6,
plot.variance = (!is.null(x@.RFparams$has.variance) &&
x@.RFparams$has.variance),
select.variables, # = 1:vdim,
zlim,
legend=TRUE,
MARGIN.movie = NULL,
...)
plotRFspatialDataFrame(x=x, y=y, MARGIN=MARGIN,
MARGIN.slices=MARGIN.slices,
n.slices=n.slices, nmax=nmax,
plot.variance = plot.variance,
select=select.variables,
zlim=zlim,
legend=legend,
MARGIN.movie = MARGIN.movie,
...))
setMethod(f="plot",
signature(x="RFspatialDataFrame", y="RFspatialPointsDataFrame"),
definition=function(
x, y, MARGIN = c(1, 2),
MARGIN.slices = NULL,
n.slices= if (is.null(MARGIN.slices)) 1 else 10,
nmax = 6,
plot.variance = (!is.null(x@.RFparams$has.variance) &&
x@.RFparams$has.variance),
select.variables, # = 1:vdim,
zlim,
legend=TRUE,
MARGIN.movie = NULL,
...)
plotRFspatialDataFrame(x=x, y=y, MARGIN=MARGIN,
MARGIN.slices=MARGIN.slices,
n.slices=n.slices, nmax=nmax,
plot.variance = plot.variance,
select=select.variables,
zlim=zlim,
legend=legend,
MARGIN.movie = MARGIN.movie,
...))
setMethod(f="persp",
signature(x="RFspatialGridDataFrame"),
definition=function(
x, y, MARGIN = c(1, 2),
MARGIN.slices = NULL,
n.slices= if (is.null(MARGIN.slices)) 1 else 10,
nmax = 6,
plot.variance = (!is.null(x@.RFparams$has.variance) &&
x@.RFparams$has.variance),
select.variables, # = 1:vdim,
zlim,
legend=TRUE, MARGIN.movie = NULL, ...)
plotRFspatialDataFrame(x=x, y=y, MARGIN=MARGIN,
MARGIN.slices=MARGIN.slices,
n.slices=n.slices, nmax=nmax,
plot.variance = plot.variance,
select=select.variables,
zlim=zlim,
legend=legend,
MARGIN.movie = MARGIN.movie,
..., plotmethod="persp"))
contour.RFspatialGridDataFrame <-
function( x, y, zlim,
MARGIN = c(1, 2),
MARGIN.slices = NULL,
n.slices = if (is.null(MARGIN.slices)) 1 else 10,
nmax = 6,
plot.variance = (!is.null(x@.RFparams$has.variance) &&
x@.RFparams$has.variance),
select.variables, # = 1:vdim,
legend=TRUE, MARGIN.movie = NULL, ...)
plotRFspatialDataFrame(x=x, y=y, MARGIN=MARGIN,
MARGIN.slices=MARGIN.slices,
n.slices=n.slices, nmax=nmax,
plot.variance = plot.variance,
select=select.variables,
zlim=zlim,
legend=legend,MARGIN.movie = MARGIN.movie,
..., plotmethod="contour")
errMsgNoPlotAvailable <- function(x, y)
warning(paste("no plot method available for signature c(",
class(x), ",", class(y), ")"))
setMethod(f="plot", signature(x="RFspatialPointsDataFrame",
y="RFspatialGridDataFrame"),
definition=function(x, y) {
errMsgNoPlotAvailable(x, y)
return(invisible(NULL))
})
# plotRFgridDataFrame <- function(x, y, nmax, plot.variance, ...)
# siehe nicht.nachladbar.R
plotRFdataFrame <- function(x, y, nmax=6, plot.variance, legend, ...) {
## grid : sorted = TRUE
## points : sorted = FALSE
stopifnot(!missing(x))
x <- trafo_pointsdata(x)
nc <- ncol(x$data)
if (!missing(y)) {
y <- trafo_pointsdata(y)
y$data <- rep(y$data, length.out=nrow(y$data) * nc)
dim(y$data) <- c(length(y$coords), nc)
}
has.variance <- !is.null(x$RFparams$has.variance) && x$RFparams$has.variance
if (!has.variance) plot.variance <- FALSE
n <- min(x$RFparams$n, nmax) + plot.variance
vdim <- x$RFparams$vdim
if (nc < n*vdim) {
if (n==1) vdim <- nc else if (vdim==1) n <- nc else {
stop("ncol(x@data) does not match 'x@.RFparams'; change 'x@.RFparams'")
}
}
if (any(par()$mfcol != c(1,1))) par(mfcol=c(1,1))
graphics <- RFoptions()$graphics
always.close <- n > 1 || graphics$always_close_screen
## Print("A", always.close)
dots <- list(...)
dotnames <- names(dots)
if ("bg" %in% dotnames) {
par(bg=dots$bg)
dots$bg <- NULL
}
if (!("xlab" %in% dotnames)) dots$xlab <- x$lab$x
if (!("type" %in% dotnames)) dots$type <- "l"
make.small.mar <- ("xlab" %in% dotnames &&
is.null(dots$xlab) && is.null(dots$ylab))
## variable names
## Print(x); lll
if (!is.null(x$labdata) && all(nchar(x$labdata)>0))
names.vdim <- unlist(lapply(strsplit(x$labdata[1:vdim], ".n"),
FUN=function(li) li[[1]]))
else {
names.vdim <- paste("variable", 1:vdim)
x$labdata <- names.vdim
}
if (n>1){
ylab.vec <- c(paste("realization ", 1:(n-plot.variance), sep=""),
if (plot.variance) "kriging variance")
} else {
ylab.vec <- if (vdim==1) x$colnames else ""
}
if ("ylab" %in% dotnames) {
if (!is.null(dots$ylab))
ylab.vec[1:length(ylab.vec)] <- dots$ylab
dots$ylab <- NULL
}
col <- 1:vdim
if ("col" %in% dotnames) {
if (!is.null(dots$col))
col[1:length(col)] <- dots$col
dots$col <- NULL
}
ArrangeDevice(graphics, c(1, n))
split.screen(c(n,1))
# if (always.close) {
# close.screen(all.screens=TRUE)
# par(mfrow=c(1,1))
# split.screen(c(n,1))
# }
for (i in 1:n){
screen(i)
if (make.small.mar)
par(oma=c(3,0,1,1)+.1, mar=c(0,3,0,0))
else
par(oma=c(4,0,1,1)+.1, mar=c(0,4,0,0))
ylab <- ylab.vec[i]
if (tmp.idx <- (plot.variance && i==n)){
i <- x$RFparams$n + plot.variance
}
do.call(graphics::plot,
args=c(dots, list(
x=x$coords, y=x$data[ , vdim*(i-1)+1],
xaxt="n", yaxt="n", ylab=ylab, col=col[1]))
)
if (!missing(y)) {
points(x=y$coords, y=y$data[ , vdim*(i-1)+1], pch=22, col="red")
}
axis(2)
if (tmp.idx) i <- n
if(i==n){
axis(1, outer=always.close)
title(xlab=dots$xlab, outer=TRUE) # always.close)
}
else axis(1, labels=FALSE)
for (j in 1:vdim){
if (j==1) next
do.call(graphics::points, quote=TRUE,
args=c(dots, list(
x=x$coords, y=x$data[ , vdim*(i-1)+j], col=col[j]))
)
if (!missing(y)) {
points(x=y$coords, y=y$data[ , vdim*(i-1)+j], pch=22, col="red")
}
if (i==1) {
if ( (!TRUE || vdim > 1) && legend) {
legend("topright", col=col, lty=1, legend = c(names.vdim))
}
}
}
}
if (always.close) close.screen(all.screens=TRUE)
}