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<table width="100%" summary="page for Strauss {spatial}"><tr><td>Strauss {spatial}</td><td align="right">R Documentation</td></tr></table>
<h2>Simulates Strauss Spatial Point Process</h2>


<h3>Description</h3>

<p>
Simulates Strauss spatial point process.
</p>


<h3>Usage</h3>

<pre>
Strauss(n, c=0, r)
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>n</code></td>
<td>
number of points
</td></tr>
<tr valign="top"><td><code>c</code></td>
<td>
parameter <code>c</code> in [0, 1]. <code>c</code> = 0 corresponds to complete inhibition at
distances up to <code>r</code>.
</td></tr>
<tr valign="top"><td><code>r</code></td>
<td>
inhibition distance
</td></tr>
</table>

<h3>Details</h3>

<p>
Uses spatial birth-and-death process for 4<code>n</code> steps, or for 40<code>n</code> steps
starting from a binomial pattern on the first call from an other function.
Uses the region set by <code>ppinit</code> or <code>ppregion</code>.
</p>


<h3>Value</h3>

<p>
list of vectors of x and y 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="Psim.html">Psim</a></code>, <code><a href="SSI.html">SSI</a></code>
</p>


<h3>Examples</h3>

<pre>
towns &lt;- ppinit("towns.dat")
par(pty="s")
plot(Kfn(towns, 10), type="b", xlab="distance", ylab="L(t)")
lines(Kaver(10, 25, Strauss(69,0.5,3.5)))
</pre>



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

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