<br><font size=2 face="sans-serif">This is in general a nontrivial problem.</font>
<br>
<br><font size=2 face="sans-serif">One approach is here - -</font>
<br>
<br><font size=2 face="sans-serif">http://www.netlib.org/toms/905</font>
<br>
<table>
<tr>
<td><font size=3> </font>
<td valign=top><font size=3><b>ref: </b></font>
<td><font size=3>TOMS 37,3 (Sep 2010) Article: 34</font>
<tr>
<td><font size=3> </font>
<td valign=top><font size=3><b>for: </b></font>
<td><font size=3>{SHEPPACK}: Modified {Shepard} Algorithm for Interpolation
of Scattered Multivariate Data</font>
<tr>
<td><font size=3> </font>
<td valign=top><font size=3><b>by: </b></font>
<td><font size=3>William I. Thacker, Jingwei Zhang, Layne T. Watson, Jeffrey
B. Birch, Manjula A. Iyer and Michael W. Berry</font></table>
<br>
<br><font size=2 face="sans-serif">If this is what you need, it's not hard
to hook the fortran code into scilab.</font>
<br>
<br><font size=2 face="sans-serif">If you expect that your data can be
fit with a global polynomial, you can do that "by hand "in a
straightforward way,</font>
<br><font size=2 face="sans-serif">since each basis function is continuous
and spans your space. It's much harder when your basis functions</font>
<br><font size=2 face="sans-serif">are piecewise.</font>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<table width=100%>
<tr valign=top>
<td width=40%><font size=1 face="sans-serif"><b>Ariel <a.dgraaf@krohne.com></b>
</font>
<br><font size=1 face="sans-serif">Sent by: users-bounces@lists.scilab.org</font>
<p><font size=1 face="sans-serif">06/03/2013 10:22 AM</font>
<table border>
<tr valign=top>
<td bgcolor=white>
<div align=center><font size=1 face="sans-serif">Please respond to<br>
"International users mailing list for Scilab."
<users@lists.scilab.org></font></div></table>
<br>
<td width=59%>
<table width=100%>
<tr valign=top>
<td>
<div align=right><font size=1 face="sans-serif">To</font></div>
<td><font size=1 face="sans-serif">users@lists.scilab.org</font>
<tr valign=top>
<td>
<div align=right><font size=1 face="sans-serif">cc</font></div>
<td>
<tr valign=top>
<td>
<div align=right><font size=1 face="sans-serif">Subject</font></div>
<td><font size=1 face="sans-serif">Re: [Scilab-users] 4D gridding and interpolation
of scattered data
points</font></table>
<br>
<table>
<tr valign=top>
<td>
<td></table>
<br></table>
<br>
<br>
<br><font size=3 face="Times New Roman">> Do you mean that he V values
you have are not placed on a 3d grid, <br>
> but on randomly scattered (x, y, z) points?</font>
<p><font size=2 color=#004080 face="Calibri"> </font>
<p><font size=2 color=#004080 face="Calibri">Exactly. I have randomly scattered
(x,y,z) points with corresponding value V and I want to map those points
onto a regular grid with the interpolated (or averaged) value V.</font>
<p><font size=2 color=#004080 face="Calibri"> </font>
<p><font size=2 color=#004080 face="Calibri">Kind regards</font>
<p><font size=2 color=#004080 face="Calibri">Ariƫl de Graaf</font>
<p><font size=2 color=#004080 face="Calibri"> </font>
<p><font size=3><br>
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