| unmask | R Documentation | 
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 class 'data.frame'
unmask(
  x,
  mask = attr(x, "mask"),
  fullgrid = attr(mask, "fullgrid"),
  forceCheck = is(fullgrid, "GridTopology"),
  ...
)
## S3 method for class 'DataFrameStack'
unmask(
  x,
  mask = attr(x, "mask"),
  fullgrid = attr(mask, "fullgrid"),
  forceCheck = is(fullgrid, "GridTopology"),
  ...
)
## S3 method for class 'SpatialPixels'
unmask(
  x,
  mask = NULL,
  fullgrid = attr(mask, "fullgrid"),
  forceCheck = FALSE,
  ...
)
## S3 method for class 'SpatialPoints'
unmask(
  x,
  mask = attr(x@data, "mask"),
  fullgrid = attr(mask, "fullgrid"),
  forceCheck = FALSE,
  ...
)
x | 
 a masked object  | 
... | 
 arguments for generic functionality  | 
mask | 
 the mask; typically has good defaults  | 
fullgrid | 
 the full grid; typically has good defaults  | 
forceCheck | 
 if   | 
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.
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()
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