I want to analyse the proportion of land use coverage of 12 different land use categories per area. The idea is to create a table as listed below, with the study area I have divided in cells, which either have a presence (1) or absence (0) of little owls. In this way I create a binary model which I can use for analysis with a GLM.I have a polygon layer that contains all values 0 (all absence values) and one for all values 1 (all presence values).

How can I extract the information I need from the data I have? Should I convert the polygon layers to raster layers for example? In that way I could maybe analyse the proportion of land use per cell using zonal histogram for example? Any other ideas?

Absence layer: enter image description here

Presence layer: enter image description here

And this is a short example of what I want the output to look like: enter image description here

  • Those are not rasters. Are you saying you also have a raster layer? Try statistics by categories
    – BERA
    Jun 17 at 16:27
  • No I thought I needed to turn these into raster layers in order to do what I want to do, because I want to have statistics per cell instead of per categories. So I think statistics by categories is not what I need.
    – Roos
    Jun 18 at 10:28


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