Unmask a masked object, i.e. recover the original grid and extend potential
data containers associated to it with NAs. See examples in constructMask()
unmask(x, ...)# S3 method for data.frame
unmask(
x,
mask = attr(x, "mask"),
fullgrid = attr(mask, "fullgrid"),
forceCheck = is(fullgrid, "GridTopology"),
...
)
# S3 method for DataFrameStack
unmask(
x,
mask = attr(x, "mask"),
fullgrid = attr(mask, "fullgrid"),
forceCheck = is(fullgrid, "GridTopology"),
...
)
# S3 method for SpatialPixels
unmask(
x,
mask = NULL,
fullgrid = attr(mask, "fullgrid"),
forceCheck = FALSE,
...
)
# S3 method for SpatialPoints
unmask(
x,
mask = attr(x@data, "mask"),
fullgrid = attr(mask, "fullgrid"),
forceCheck = FALSE,
...
)
a masked object
arguments for generic functionality
the mask; typically has good defaults
the full grid; typically has good defaults
if fullgrid is provided, should the coordinates provided
in x and in fullgrid be cross-checked to ensure that they are given in
compatible orders? See sortDataInGrid() and setGridOrder() for controlling
the ordering of vectors and grids.
The original grid data and extend potential
data containers associated to it with NAs. See examples in constructMask().
The nature of the output depends on the nature of x:
a "data.frame" produced a "data.frame";
a "unmask.DataFrameStack" produces a "unmask.DataFrameStack";
a "SpatialPoints" produces a "SpatialPoints"; and finally
a "SpatialPixels" produces either a "SpatialPixels" or a "SpatialGrid" (if it is full).
Note that only in the case that class(x)=="SpatialPixels" is mask required,
for the other methods all arguments have reasonable defaults.
unmask: Unmask a masked object
unmask.DataFrameStack: Unmask a masked object
unmask.SpatialPixels: Unmask a masked object
unmask.SpatialPoints: Unmask a masked object
Other masking functions:
constructMask(),
getMask(),
print.mask(),
setMask()