Estimate values for cell values that are NA
by interpolating between layers
approximate.Rd
approximate uses the stats
function approx
to estimate values for cells that are NA
by interpolation across layers. Layers are considered equidistant, unless argument z
is used, or time(x)
returns values that are not NA
, in which case these values are used to determine distance between layers.
For estimation based on neighboring cells see focal
Usage
# S4 method for class 'SpatRaster'
approximate(x, method="linear", yleft, yright,
rule=1, f=0, ties=mean, z=NULL, NArule=1,filename="", ...)
Arguments
- x
SpatRaster
- method
specifies the interpolation method to be used. Choices are "linear" or "constant" (step function; see the example in
approx
- yleft
the value to be returned before a non-
NA
value is encountered. The default is defined by the value of rule given below- yright
the value to be returned after the last non-
NA
value is encountered. The default is defined by the value of rule given below- 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-
NA
values are encountered). If rule is 1 then NAs are returned for such points and if it is 2, the value at the closest data extreme is used. Use, e.g.,rule = 2:1
, if the left and right side extrapolation should differ- 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
y0*(1-f)+y1*f
so thatf = 0)
is right-continuous andf = 1
is left-continuous- 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., depth). The default is
time(x)
if these are notNA
or else1:nlys(x)
- NArule
single integer used to determine what to do when only a single layer with a non-
NA
value is encountered (and linear interpolation is not possible). The default value of 1 indicates that all layers will get this value for that cell; all other values do not change the cell values- filename
character. Output filename
- ...
additional arguments for writing files as in
writeRaster
Examples
r <- rast(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 <- c(r1,r2,r3,r4,r5,r6)
s[1:5] <- NA
x1 <- approximate(s)
x2 <- approximate(s, rule=2)
x3 <- approximate(s, rule=2, z=c(1,2,3,5,14,15))