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Spatial Join - same results despite different Merge Rules and Match Options

Question asked by data.officer on Dec 21, 2017
Latest reply on Dec 22, 2017 by Dan_Patterson

I have a shapefile with 414508 polygons representing different habitat types. I want to match the values from a 25m x 25m raster file for the same study area to these polygons, using the mean value of all 25m cells that fall within each polygon. 


I converted my raster file to points and ran the 'Spatial Join' tool with the polygon file as my Target Features and the new point file as Join Features. At first, I only changed the Merge Rule from 'First' to 'Mean' and left the default Match Option (Intersect). This did not give me the output I was after though as the matched values seemed too high, i.e. they didn't seem to reflect the 'mean' of all the values in within the polygon. 

I then experimented with the Match Option, choosing 'Contains' as well as 'Completely contains' but got the same results each time. During each try, the same point value was used for matching, and it doesn't seem like any merge rule was applied at all from looking at the attribute table (see below). The point whose value was matched to the polygon in the image below in no way represents the mean as the majority of points that fall within it have values <0.2, and only a very small portion of it is covered with points >0.2


What did I do wrong? How come the attribute table shows the value of a single point ('pointid' and 'gridcode') rather than the result of the 'mean' merge rule? Is there perhaps another way of achieving what I want without using the Spatial Join tool? I am using Pro 2.0 but also have Desktop 10.5 installed.