I'm working on a project where, essentially, I'm measuring threat levels based on geospatial patterns. I have different groups with higher or lower threat levels based on the distance from their location. These distances are fixed between different groups, all are roughly 0-30 miles, 31-90 miles, 91-270 miles, etc.
I have a data set that lists these groups and the threat levels based on those distances. It basically looks like:
There will be multiple examples of each group, and I know how to create the points and buffers off the points, but this is where my current skill set fails me and I need help.
- I need to assign values to each groups buffer area.
- I need to identify areas where the buffers overlap, and create a high threat level.
Ideally, the outcome would look something like this, where the points are a various groups locations, the buffer circles are the distances, and the black numbers are the values assigned to each buffer:
The orange numbers show the value of the overlapping buffers, and something like the red area is where two groups threat levels overlap to create the highest overall threat.