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At its simplest, I'd like to create a list of values within quadrants (neighborhood/window) and then compare the contents of those lists.
The first step would be to create a list of values -- is that possible using spatial analyst?
One additional approach, which might be more closely aligned with the available tools in Spatial Analyst is to reclassify the landcover classification in such a way that a focal sum could create unique outputs based on the values within the neighborhood window
e.g. quadrant1 (3 x 3 grid) = 100,000 + 10,000 + 1,000 + 100 + 10 + 1 = 111,111
quadrant2 = 10,000 + 10,000 + 1,000 + 100 + 100 + 10 = 21,210
such an approach would give both what amounts to a list of values and the relative abundance of each class.
From there, you could simply calculate a second focal stats using 'variety"...
I'm realizing my 11 classes would require 64-bit data to perform the analysis described above,whereas the reclassify tool is obviously limited to 32-bit based maximum value(2147483648). Any suggestions?
Ideally the reclass would be as follows:
I've considered using 32-bit float and using decimal places, but again reclassify outputs must be integers!
A nested "Con" statement might do the trick... it can handle floats, right?