approxNA {raster} | R Documentation |
Estimate values for cell values that are NA
by interpolating between layers
Description
approxNA uses the stats
function approx
to estimate values for cells that are NA
by interpolation across layers. Layers are considered equidistant, unless an argument 'z' is used, or getZ
returns values, in which case these values are used to determine distance between layers.
For estimation based on neighbouring cells see focal
Usage
## S4 method for signature 'RasterStackBrick'
approxNA(x, filename="", method="linear", yleft, yright,
rule=1, f=0, ties=mean, z=NULL, NArule=1, ...)
Arguments
x |
RasterStack or RasterBrick object |
filename |
character. Output filename (optional) |
method |
specifies the interpolation method to be used. Choices are "linear" or "constant" (step function; see the example in |
yleft |
the value to be returned before a non- |
yright |
the value to be returned after the last non- |
rule |
an integer (of length 1 or 2) describing how interpolation is to take place at for the first and last cells (before or after any non- |
f |
for method = "constant" a number between 0 and 1 inclusive, indicating a compromise between left- and right-continuous step functions. If y0 and y1 are the values to the left and right of the point then the value is |
ties |
Handling of tied 'z' values. Either a function with a single vector argument returning a single number result or the string "ordered" |
z |
numeric vector to indicate the distance between layers (e.g., time, depth). The default is 1:nlayers(x) |
NArule |
single integer used to determine what to do when only a single layer with a non- |
... |
additional arguments as for |
Value
RasterBrick
See Also
Examples
r <- raster(ncols=5, nrows=5)
r1 <- setValues(r, runif(ncell(r)))
r2 <- setValues(r, runif(ncell(r)))
r3 <- setValues(r, runif(ncell(r)))
r4 <- setValues(r, runif(ncell(r)))
r5 <- setValues(r, NA)
r6 <- setValues(r, runif(ncell(r)))
r1[6:10] <- NA
r2[5:15] <- NA
r3[8:25] <- NA
s <- stack(r1,r2,r3,r4,r5,r6)
s[1:5] <- NA
x1 <- approxNA(s)
x2 <- approxNA(s, rule=2)
x3 <- approxNA(s, rule=2, z=c(1,2,3,5,14,15))