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NOTICE: This version of the NSF Unidata web site (archive.unidata.ucar.edu) is no longer being updated.
Current content can be found at unidata.ucar.edu.
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Hi Tom, Thanx. I'll try again tomorrow. If I can't find the problem I'll put together a small test prog. Unfortunately, I can't make the data available (we have those available in 5 datasets with different resolution, in diff db tables. The highest res dataset has some some 800000 points). Triangulating those is not the problem (I thought it'd be). But I got stuck with the resampling, as said. Thanks for the support. Cheers, Ugo > Hi Ugo, > > This operation is implemented, and should work. There can > be problems sometimes with precision and coincident data > points. If your willing to post a small program or the data to > the list we can take a look. > > TomR > > Ugo Taddei wrote: > >> Hi, >> >> there I go again on the subject of irregular sets... >> >> Is it possible to do something like >> >> FlatField bigField = ...// large field with Irregular2DSet as domain >> set >> >> Set smallSet = ...small irregular 2D set >> >> FlatField smallField = (FlatField)bigField.resample( smallSet, >> Data.WEIGHTED_AVERAGE, Data.NO_ERRORS); >> >> Before I had a Linear2DSet as my smallSet, and it worked fine (but >> "slow"). It is now returning "missing". The fields do (partially) >> overlap, however. I expected at least some values to return NaNs. >> >> I'm not sure if the mistake is somewhere else or if this is not >> possible/implemented. >> >> Thanks for the help, >> >> Ugo
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