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How to best approach creating a fuzzy suitability surface for land cover?

Question asked by jwmonks on May 19, 2017
Latest reply on May 30, 2017 by jwmonks

So I am in the process of creating a fuzzy suitability map for a species of bird and for the most part its fine and I have the values to create my functions. The only dataset that is causing me an issue is that of land cover.

What i have done is create buffers to denote home range and then have masked off the rest of the map so I only have the values of interest.

Within these values I have simplified a Corine land cover layer to "forest" "cropland" etc and have statistics regarding these covers. The part I am struggling with is how to best approach generating a fuzzy surface. Should I take each cover individually? Would a good approach be to take a "window" based on the mean home range and somehow classify the the surface using that?


Any insight would be greatly appreciated.