Following a comment on the KDE to Point video about Zonal Statistics, I wanted to demonstrate this process works as well. Given the project the KDE to Point video is attached to, I wanted to demonstrate how to take raster to point. Similar to many techniques, there are multiple ways of accomplishing the goal. This video demonstrates, with different data on Chattanooga, how to use a feature layer (could be your fishnet/grid) concerning Zoning and obtain KDE values from the raster. In this example, the KDE raster values are aggregated based on the larger "zone" they are located. Then, based on the zone, descriptive statistics are provided (Mean, Standard Deviation, Min, Max, Range, Count, Sum). Rich information that is calculated for you fairly quickly - I more commonly use Zonal Statistics when I am working with Census Block Groups and Tracts as a layer for my "zone".
Chattanooga Data Portal: https://data.chattlibrary.org/
Zonal Statistics: https://pro.arcgis.com/en/pro-app/lat...