comp.lang.idl-pvwave archive - RDF feed
type: channel
description: Messages from Usenet group comp.lang.idl-pvwave, compiled by Paulo Penteado
items: Re: IDL and 3D scattered data

Re: IDL and 3D scattered data
type: item
description: Todd Bowers (tbowers@nrlssc.navy.mil) writes: > Anybody know > of a routine(s) that'll do what triangulate/trigrid > or sph_scat will do but in 3 spacial dimensions? BTW, > when I say 3D scattered data, I mean *real* 3D > scattered data. That means 3 independant variables > and 1 dependant variable, as in x,y,z,f(xyz). I presume you have looked at and dismissed GRID3, which according to the documentation (usually reliable) works like this: Result = GRID3(X, Y, Z, F) Cheers, David -- David Fanning, Ph.D. Fanning Software Consulting Phone: 970-221-0438 E-Mail: davidf@dfanning.com Coyote's Guide to IDL Programming: http://www.dfanning.com/ Toll-Free IDL Book Orders: 1-888-461-0155
creator: davidf
date: 1999-05-28T07:00:00-00:00

Re: IDL and 3D scattered data
type: item
description: My fault, I should have been more clear in my oiginal post. Grid3 uses Modified Shepard's Method, a simple inverse distance weighted method. After alot of trial and reading, I've determined that this method is adequate, but has problems with certain aspects of our very non-uniformly dispersed types of data. On the other hand, interpolation based on a Delaunay triangulation is desireable for a few reasons, one of which is that it is a very local method so local trends are not affected by non-local trends. So , does anybody know of a 3D Delaunay tetrahedralization function? Anybody also know how to implement natural neighbor interp. based on the tetrahedralization? Thanks, Todd -- Todd Bowers PSI-MSAAP Bldg. 9121 Stennis Space Center, MS tbowers@nrlssc.navy.mil David Fanning <davidf@dfanning.com> wrote in message news:MPG.11b8f9eb2a21375c9897c4@news.frii.com... > Todd Bowers (tbowers@nrlssc.navy.mil) writes: > >> Anybody know >> of a routine(s) that'll do what triangulate/trigrid >> or sph_scat will do but in 3 spacial dimensions? BTW, >> when I say 3D scattered data, I mean *real* 3D >> scattered data. That means 3 independant variables >> and 1 dependant variable, as in x,y,z,f(xyz). > > I presume you have looked at and dismissed GRID3, > which according to the documentation (usually reliable) > works like this: > > Result = GRID3(X, Y, Z, F) > > Cheers, > > David >
creator: T Bowers
date: 1999-05-31T07:00:00-00:00