Smooth.ssf

Applies kernel smoothing to a spatially sampled function.

methods

smooth

spatial

Functionality for exploratory data analysis and nonparametric analysis of
spatial data, mainly spatial point patterns,
in the 'spatstat' family of packages.
(Excludes analysis of spatial data on a linear network,
which is covered by the separate package 'spatstat.linnet'.)
Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.

Adrian Baddeley

spatstat.explore

Exploratory Data Analysis for the 'spatstat' Family

Rolf Turner

Ege Rubak

Kasper Klitgaard Berthelsen

Warick Brown

Achmad Choiruddin

Jean-Francois Coeurjolly

Ottmar Cronie

Tilman Davies

Julian Gilbey

Jonatan Gonzalez

Yongtao Guan

Ute Hahn

Kassel Hingee

Abdollah Jalilian

Frederic Lavancier

Marie-Colette van Lieshout

Greg McSwiggan

Robin K Milne

Tuomas Rajala

Suman Rakshit

Dominic Schuhmacher

Rasmus Plenge Waagepetersen

Hangsheng Wang

Smooth.ssf function

<dl> <dt>X</dt>
<dd>Object of class <code>"ssf"</code>.</dd> <dt>...</dt>
<dd>Arguments passed to <code>Smooth.ppp</code>
 to control the smoothing.</dd></dl>

Arguments

Adrian Baddeley <a href="/link/Adrian.Baddeley%40curtin.edu.au?package=spatstat.explore&version=3.2-7" data-mini-rdoc="spatstat.explore::Adrian.Baddeley@curtin.edu.au">Adrian.Baddeley@curtin.edu.au</a>.

Author

Smooth a Spatially Sampled Function — Smooth.ssf

<dl>

 <dt>X</dt>
<dd>Object of class <code>"ssf"</code>.</dd>

 <dt>...</dt>
<dd>Arguments passed to <code>Smooth.ppp</code>
 to control the smoothing.</dd>

</dl>

Adrian Baddeley <a href='mailto:Adrian.Baddeley@curtin.edu.au'>Adrian.Baddeley@curtin.edu.au</a>.

Smooth a Spatially Sampled Function

Smooth.ssf: Smooth a Spatially Sampled Function

Description

Usage

Value

Arguments

Author

Details

See Also

Examples