[Numpy-Discussion] 3d interpolation

Paul F. Dubois paul at pfdubois.com
Thu Jun 7 12:26:22 EDT 2001

Try this and let me know if it works for you. It implements Hardy's

Note the caution on the number of input points. This algorithm does a really
spiffy job usually. Try the default rsq first.

-- Paul

-----Original Message-----
From: numpy-discussion-admin at lists.sourceforge.net
[mailto:numpy-discussion-admin at lists.sourceforge.net]On Behalf Of
Robert.Denham at dnr.qld.gov.au
Sent: Wednesday, June 06, 2001 8:59 PM
To: numpy-discussion at lists.sourceforge.net
Subject: [Numpy-Discussion] 3d interpolation

I have a series of x,y,z irregular data points.  I would like to create a
2-d array (surface) from this data, each cell in the array being an
interpolated value based on the nearby z values.  I was wondering if anyone
had any experience or suggestions under python?  The interpolation algorithm
needn't be elaborate, kriging is definite overkill, I was thinking more
along the lines of splines or even inverse distance weighting.

Robert Denham
Department of Natural Resources
Queensland, Australia

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