The attached image shows two different forest openings. Each opening has the following layers associated with it:
- Point shapefile 1 = A red X which represent a large "legacy" tree in the gap
- Point shapefile 2 = White points that indicate sapling locations
- Raster Layer = A kernel density estimate of the magnitude per unit area of point shapefile 2
I am interested in creating a graphic that visually depicts the average magnitude per unit area between the two rasters. Each raster has a different spatial extent. My thoughts were to "stack" the rasters based on the location of point shapefile 1 (i.e. the legacy tree) and perform the analysis using raster algebra (e.g. Float("Raster1" + "Raster2")/2). I should point out that the full dataset will have ~ 30 forest openings.
How can I stack these rasters so that they are centered on the legacy tree in order to perform the raster algebra?
As @Alexandre pointed out, the solution was to georeference the rasters based on X.