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,
...
)
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 is(x,"SpatialPixels")=TRUE is mask required,
for the other methods all arguments have reasonable defaults.
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.
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()