smoothconv: Smoothening using convolution with a circular kernel
In rainfarmr: Stochastic Precipitation Downscaling with the RainFARM Method
Description
Usage
Arguments
Value
Author(s)
Examples
Description
The input field is convolved with a circular kernel with equal
weights. Takes into account missing values.
Usage
1
smoothconv(z, nas)
Arguments
z
matrix with the input field to smoothen, with dimensions c(ns, ns)
nas
the smoothing kernel uses a radius (ns/nas)/2
Value
The smoothened field.
Author(s)
Jost von Hardenberg, j.vonhardenberg@isac.cnr.it
Examples
1
2
3
4
5
z <- rnorm(64 * 64)
dim(z) <- c(64, 64)
zs <- smoothconv(z, 8)
sd(zs)
# [1] 0.07910996
rainfarmr documentation built on May 1, 2019, 8:02 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
The input field is convolved with a circular kernel with equal weights. Takes into account missing values.
Usage
1 | smoothconv(z, nas)
|
Arguments
z |
matrix with the input field to smoothen, with dimensions |
nas |
the smoothing kernel uses a radius |
Value
The smoothened field.
Author(s)
Jost von Hardenberg, j.vonhardenberg@isac.cnr.it
Examples
1 2 3 4 5 | z <- rnorm(64 * 64)
dim(z) <- c(64, 64)
zs <- smoothconv(z, 8)
sd(zs)
# [1] 0.07910996
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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