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Remap categorical data with REMAPLAF while ignoring certain values

Added by Luke Grant about 5 years ago

I'm working with AMSR ice coverage data that uses integer keys to express full, <50% and >50% lake ice coverage, as well as land and ocean cells. I need to re-grid the data to a coarser resolution. I've read that "remaplaf" is the strongest option for my situation (categorical data). However, the remapping is logically favouring land keys, so I'm losing the information I need. Is it possible to apply some remapping restrictions? Can I force the procedure to ignore certain values?

Thanks!
Luke


Replies (1)

RE: Remap categorical data with REMAPLAF while ignoring certain values - Added by Ralf Mueller about 5 years ago

Luke!

in case u still have his issue, please upload some sample data.

cheers
ralf

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