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<html><head><title>R: Simulate Binomial Spatial Point Process</title>
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<table width="100%" summary="page for Psim {spatial}"><tr><td>Psim {spatial}</td><td align="right">R Documentation</td></tr></table>
<h2>Simulate Binomial Spatial Point Process</h2>


<h3>Description</h3>

<p>
Simulate Binomial spatial point process.
</p>


<h3>Usage</h3>

<pre>
Psim(n)
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>n</code></td>
<td>
number of points
</td></tr>
</table>

<h3>Details</h3>

<p>
relies on the region being set by <code>ppinit</code> or <code>ppregion</code>.
</p>


<h3>Value</h3>

<p>
list of vectors of <code>x</code> and <code>y</code> coordinates.</p>

<h3>Side Effects</h3>

<p>
uses the random number generator.
</p>


<h3>References</h3>

<p>
Ripley, B. D. (1981) <EM>Spatial Statistics.</EM> Wiley.
</p>
<p>
Venables, W. N. and Ripley, B. D. (2002)
<EM>Modern Applied Statistics with S.</EM> Fourth edition.  Springer.
</p>


<h3>See Also</h3>

<p>
<code><a href="SSI.html">SSI</a></code>, <code><a href="Strauss.html">Strauss</a></code>
</p>


<h3>Examples</h3>

<pre>
towns &lt;- ppinit("towns.dat")
par(pty="s")
plot(Kfn(towns, 10), type="s", xlab="distance", ylab="L(t)")
for(i in 1:10) lines(Kfn(Psim(69), 10))
</pre>



<hr><div align="center">[Package <em>spatial</em> version 7.2-44 <a href="00Index.html">Index]</a></div>

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