On 24/07/2011 00:15, Paulo van Breugel wrote:
Maybe r.cross can be of help. It creates a cross product of the category
variables of a layer, i.e., a map with separate categories for each
unique combination of the two CLC maps (the category labels gives you
the combination of input maps for each new category).
You can use this new map to create a reclass map with the new values
from your decision matrix. To do this, you could for example follow the
following steps:
1) Run r.category to get a list with the categories and category labels
of the cross product map you just created. You can output this as a text
file
Sorry for coming back to this older mail. My question is: rather than
running the somewhat time-consuming r.category to get a list with the
categories and their labels, can I not simply use:
cat cats/crossmap # ..and there I have my text file with the labels?
(Given that I want all categories for the full map extent in the native
resolution.)
Hermann
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