approximate | R Documentation |
NA
by interpolating between layersapproximate 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
## S4 method for signature 'SpatRaster' approximate(x, method="linear", yleft, yright, rule=1, f=0, ties=mean, z=NULL, NArule=1,filename="", ...)
x |
SpatRaster |
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., depth). The default is |
NArule |
single integer used to determine what to do when only a single layer with a non- |
filename |
character. Output filename |
... |
additional arguments for writing files as in |
SpatRaster
focal
, fillTime
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))
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