topic Re: Kernel Density Workflows and Use Cases in ArcGIS Spatial Analyst Questions

Kernel Density Workflows and Use Cases

TimothyHales — Mon, 01 May 2017 19:11:44 GMT

How are you using Kernel Density? I'd like to understand your workflows and use cases. Are you using the output raster only as a visual, or are you processing it further using a tool like Zonal Statistics? Thanks for your input!

Re: Kernel Density Workflows and Use Cases

DanPatterson_Retired — Tue, 02 May 2017 02:27:12 GMT

If I am working with points in that context, I prefer to use a Voronoi diagram or Delaunay triangulation since I can choose how to symbolize or interpret the intervening space between points. Probably not what you are after, but I find density and interpolation representations of space a bit disconcerting in that the original point patterns are not retained and presented by default. They may look nice, but are they representative.

Re: Kernel Density Workflows and Use Cases

NeilAyres — Tue, 02 May 2017 07:35:09 GMT

Forever the scientist

They may look nice, but are they representative.

Sometimes, a nice picture is all that is required....

I have used kernel densities quite a lot in the past, but you have to be careful about search radii and output cell sizes to be able to interpret the output correctly.

Re: Kernel Density Workflows and Use Cases

DanPatterson_Retired — Tue, 02 May 2017 08:10:07 GMT

Neil...

....but you have to be careful about search radii and output cell sizes...

you mean all the stuff that everyone ignores or has no clue about

Re: Kernel Density Workflows and Use Cases

TimothyHales — Tue, 02 May 2017 10:47:47 GMT

Also don't for get about the symbology classification methods as well.