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Smooth.ssf

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)

See Also

Examples

f <- ssf(redwood, nndist(redwood))
   Smooth(f, sigma=0.1)

spatstat.core

Core Functionality of the 'spatstat' Family

v2.1-2
GPL (>= 2)
Authors
Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao Guan [ctb], Ute Hahn [ctb], Kassel Hingee [ctb], Abdollah Jalilian [ctb], Marie-Colette van Lieshout [ctb], Greg McSwiggan [ctb], Tuomas Rajala [ctb], Suman Rakshit [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb], Hangsheng Wang [ctb]
Initial release
2021-04-17

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