Smooth.ssf: Smooth a Spatially Sampled Function
In spatstat.explore: Exploratory Data Analysis for the 'spatstat' Family
Smooth.ssf R Documentation
Smooth a Spatially Sampled Function
Description
Applies kernel smoothing to a spatially sampled function.
Usage
## S3 method for class 'ssf'
Smooth(X, ...)
Arguments
X
Object of class "ssf".
...
Arguments passed to Smooth.ppp
to control the smoothing.
Details
An object of class "ssf" represents a real-valued or
vector-valued function that has been evaluated or sampled at an
irregular set of points.
The function values will be smoothed using a Gaussian
kernel.
Value
A pixel image or a list of pixel images.
Author(s)
\adrian.
See Also
ssf,
Smooth.ppp
Examples
f <- ssf(redwood, nndist(redwood))
Smooth(f, sigma=0.1)
spatstat.explore documentation built on Oct. 22, 2024, 9:07 a.m.
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| Smooth.ssf | R Documentation |
Smooth a Spatially Sampled Function
Description
Applies kernel smoothing to a spatially sampled function.
Usage
## S3 method for class 'ssf'
Smooth(X, ...)
Arguments
X |
Object of class |
... |
Arguments passed to |
Details
An object of class "ssf" represents a real-valued or
vector-valued function that has been evaluated or sampled at an
irregular set of points.
The function values will be smoothed using a Gaussian kernel.
Value
A pixel image or a list of pixel images.
Author(s)
\adrian.
See Also
ssf,
Smooth.ppp
Examples
f <- ssf(redwood, nndist(redwood))
Smooth(f, sigma=0.1)
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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