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<H2><A NAME="SECTION00042000000000000000">Space-time separation plot</A></H2>
<A NAME="secstp"> </A>
While the recurrence plot shows absolute times, the space-time separation plot
introduced by Provenzale et al. [<A HREF="citation.html#stp" tppabs="http://www.mpipks-dresden.mpg.de/~tisean/TISEAN_2.0/docs/chaospaper/citation.html#stp">41</A>] integrates along parallels to the
diagonal and thus only shows relative times. One usually draws lines of
constant probability per time unit of a point to be an <IMG WIDTH=6 HEIGHT=7 ALIGN=BOTTOM ALT="tex2html_wrap_inline6495" SRC="img3.gif" tppabs="http://www.mpipks-dresden.mpg.de/~tisean/TISEAN_2.0/docs/chaospaper/img3.gif">-neighbor of
the current point, when its time distance is <IMG WIDTH=13 HEIGHT=12 ALIGN=BOTTOM ALT="tex2html_wrap_inline6775" SRC="img44.gif" tppabs="http://www.mpipks-dresden.mpg.de/~tisean/TISEAN_2.0/docs/chaospaper/img44.gif">. This helps
identifying temporal correlations inside the time series and is relevant to
estimate a reasonable delay time, and, more importantly, the Theiler-window <I>w</I>
in dimension and Lyapunov-analysis (see Sec. <A HREF="node29.html#secdimension" tppabs="http://www.mpipks-dresden.mpg.de/~tisean/TISEAN_2.0/docs/chaospaper/node29.html#secdimension"><IMG ALIGN=BOTTOM ALT="gif" SRC="icons/cross_ref_motif.gif" tppabs="http://www.mpipks-dresden.mpg.de/~tisean/TISEAN_2.0/docs/chaospaper/icons/cross_ref_motif.gif"></A>). Said in
different words, it shows how large the temporal distance between points should
be so that we can assume that they form independent samples according to the
invariant measure. The corresponding routine of the TISEAN package
is <a href="../wuppertal/stp.html" tppabs="http://www.mpipks-dresden.mpg.de/~tisean/TISEAN_2.0/docs/wuppertal/stp.html">stp</a>, see Fig. <A HREF="node15.html#figvisualstp" tppabs="http://www.mpipks-dresden.mpg.de/~tisean/TISEAN_2.0/docs/chaospaper/node15.html#figvisualstp"><IMG ALIGN=BOTTOM ALT="gif" SRC="icons/cross_ref_motif.gif" tppabs="http://www.mpipks-dresden.mpg.de/~tisean/TISEAN_2.0/docs/chaospaper/icons/cross_ref_motif.gif"></A>.
<P>
<P><blockquote><A NAME="4721"> </A><IMG WIDTH=345 HEIGHT=213 ALIGN=BOTTOM ALT="figure613" SRC="img45.gif" tppabs="http://www.mpipks-dresden.mpg.de/~tisean/TISEAN_2.0/docs/chaospaper/img45.gif"><BR>
<STRONG>Figure:</STRONG> <A NAME="figvisualstp"> </A>
Space-time separation plot of the CO<IMG WIDTH=6 HEIGHT=11 ALIGN=MIDDLE ALT="tex2html_wrap_inline6701" SRC="img39.gif" tppabs="http://www.mpipks-dresden.mpg.de/~tisean/TISEAN_2.0/docs/chaospaper/img39.gif"> laser data. Shown are lines of
constant probability density of a point to be <IMG WIDTH=6 HEIGHT=7 ALIGN=BOTTOM ALT="tex2html_wrap_inline6495" SRC="img3.gif" tppabs="http://www.mpipks-dresden.mpg.de/~tisean/TISEAN_2.0/docs/chaospaper/img3.gif">-neighbor of the
current point if its temporal distance is <IMG WIDTH=13 HEIGHT=12 ALIGN=BOTTOM ALT="tex2html_wrap_inline6775" SRC="img44.gif" tppabs="http://www.mpipks-dresden.mpg.de/~tisean/TISEAN_2.0/docs/chaospaper/img44.gif">. Probability densitites
are 1/10 to 1 with increments of 1/10 from bottom to top. Clear
correlations are visible.<BR>
</blockquote><P>
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<P><ADDRESS>
<I>Thomas Schreiber <BR>
Wed Jan 6 15:38:27 CET 1999</I>
</ADDRESS>
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