Description Usage Arguments Details Value Examples
rasterLocalQuantiles
finds the quantile within the positive valued neighborhood
of W
.
1 | rasterLocalQuantiles(r, W, q = 50)
|
r |
An in memory raster image. |
W |
A matrix of weights used to specify a local neighborhood. The quantile
kernel will be applied to each pixel in |
q |
A quantile. This value is required to be in the inclusive interval from 0 to 100. |
A spatial neighborhood is calculated for each pixel in r
.
The spatial neighborhood for each pixel is defined by the weight matrix
W
, where the center of the odd dimensioned matrix W
is identified
with the target pixel. The target pixel value is replaced with the
quantile of the neighborhood identified by W
. Only non-missing or neighbors
with non-zero weights are used in the calculation. Quantile calculation uses
the inverse empirical CDF transform, equivalent to stats::quantile
type=1.
An in memory raster image of local quantiles.
1 2 3 | r <- raster::raster( matrix(rnorm(36),6,6))
W <- matrix(1,3,3)
medianR <- rasterLocalQuantiles(r,W)
|
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