Due to the current gap in continued funding from the U.S. National Science Foundation (NSF), the NSF Unidata Program Center has temporarily paused most operations. See NSF Unidata Pause in Most Operations for details.
Due to the current gap in continued funding from the U.S. National Science Foundation (NSF), the NSF Unidata Program Center has temporarily paused most operations. See NSF Unidata Pause in Most Operations for details.
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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