Spatial Analyst Point vs. Kernel Density

Discussion created by jamie.till-eagle-co-nz-esridist on Sep 16, 2010
Hi there,

I am working on a project to understand point density to create delivery areas. I have a national database of delivery points (addresses) I then use Spatial Analyst to use the selected delivery points to create a raster. (using all of the defaults, output cell size, neighbourhood etc)

My problem is that i am getting inconsistent results if I do a city view vs. a suburb view I get a different result. The city view shows the area in question to be more dense. I am guessing that it is operator error but I am unable to work it out.

Is there a way that I can get a consistent view at a city level as well as a suburb level, would I be better off with Kernel Density?

Any ideas greatly appreciated