Kernel density on the edge

mody_buchbinder — Tue, 29 Mar 2022 13:57:25 GMT

So I have a few thousands trees. Some of them have disease (just an example).

Assuming something in the area cause it I would like to know what is the chance to have the disease in a new tree location.

I do a kernel density on the trees. Then on just the trees with the disease and divide them to get the results.

This works nice for areas that have many trees.

If I have a big gaps between group of trees I see a problem in these gaps.

The values in the kernel of the sick trees go from 2 to 1 (again, just an example) but the kernel for trees go from 10 to 3 so the value of the result change from 0.2 to 0.33 - it does not look right.

I am thinking about just clip all the value below 1 from the sick tree kernel out and have to results there.

Anybody have any idea about this problem?

Thanks

Re: Kernel density on the edge

DanPatterson — Tue, 29 Mar 2022 14:08:23 GMT

it could be treated as a separate tree population depending on how the disease is spread or the time needed to spread

topic Re: Kernel density on the edge in ArcGIS Spatial Analyst Questions

Kernel density on the edge

Re: Kernel density on the edge