Running Kernel Density Estimation in ArcGIS Pro

This video illustrates how to perform a kernel density estimation (KDE) in ArcGIS Pro. As part of populating KDE parameters, the user must define the search radius or bandwidth. In this example, the user must first calculated a weighted Standard Distance statistic - a measure of dispersion for a point data set. Once the standard distance is calculated, the user can populate a function to derive the optimal bandwidth (hopt) and perform the KDE. This KDE is based on a weighted attribute in a feature class.

You can learn more about ArcGIS Pro at https://www.esri.com/en-us/arcgis/pro...

You can learn more about spatial descriptive statistics from our video    • Descriptive Spatial Statistics: Mean ...  

If you don't have an ArcGIS Pro license, you can learn to perform these analyses in Q-GIS, a free, open source desktop GIS, from our KDE videos:
   • Kernel Density Estimation with Q-GIS ...   (short version)
   • Kernel Density Estimation with Q-GIS   (long version)