How I can interpret kernel density estimations result?

asdfjljwg — Tue, 12 Jul 2022 01:57:20 GMT

This is my result, and the second column of index is labeled as 'upper value', which means the kernel density. But I'm having difficulty interpreting the result. Of course I know if the color is darker, the more density certain spot has. And I know this kernel density is calculated based on probability density function, whose total area is 1.

If so, is the density calculated by KDE function in ArcGIS PRO as just same as probability? And does the sum of density value of each pixel(cell I set) amounts 1? I am confused because at first I thought like this, but now I figured out that if it's right that each density value=probability at each pixel, it might seem exceed 1. As it can be seen in the picture, there are numerous cells. Even if I suppose every kernel density value of darkest cell as just minimum, 0.014816, which is on the just above of threshold value of the second darkest cells, 0.014815, when it is multiplied by number of darkest cells I think it might seem to exceed.

Or is this just my misunderstanding?

Re: How I can interpret kernel density estimations result?

DanPatterson — Tue, 12 Jul 2022 07:32:59 GMT

What are your input parameters? Are the data in a projected coordinate system?

Some links

Kernel Density (Spatial Analyst)—ArcGIS Pro | Documentation

How Kernel Density works—ArcGIS Pro | Documentation

and an example with different data

Kernel Density Value Interpretation - Esri Community

topic Re: How I can interpret kernel density estimations result? in ArcGIS Pro Questions

How I can interpret kernel density estimations result?

Re: How I can interpret kernel density estimations result?