NCL does not have a specific function for interpolating
classification data.
--- Interpolation of *classification* data (eg, 'land cover') is non-trivial. Numbers are arbitrary. EG: 17 may be tropical forest while 18 refers to desert. Typically people use a nearest neighbor algorithm. However, nearby grid points, separated by a narrow mountain range, may have completely different land types. On 6/23/13 1:52 AM, dyjbean wrote: > hi, > > i have a land/sea mask file ,21 classification including sea,whose spatial resolution is 0.25 degree, some variable files in time serial such as air temperature, > but they has missing value not only in the sea but on the land with the same missing data assignment, > i want to mask the sea and interpolate the missing gap in some kind of landcover type. > how can i interpolate those missing data on land meanwhile masking sea? > > thanks > > > > > dyjbean > > > > _______________________________________________ > ncl-talk mailing list > List instructions, subscriber options, unsubscribe: > http://mailman.ucar.edu/mailman/listinfo/ncl-talk > _______________________________________________ ncl-talk mailing list List instructions, subscriber options, unsubscribe: http://mailman.ucar.edu/mailman/listinfo/ncl-talkReceived on Mon Jun 24 08:19:44 2013
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