I'm just facing a wall. I don't know if even possible to complete the process with modeling. I may need to work with python script which I'm not used to it.
In this state, I got a buffer created from a polyline where I split it from a specific feature point. Each section has his own entity, so it's about 3000 different features. Right now, I got a good result but, where I need to do a little modification.
The logic is simple: Splitting the section if the area is over or equal to 5KM or merge the section to the smallest adjacent one if the area is less or equal to 0.5KM. Modeling a splitting polygons by size is not simple as using a splitting feature by line.
I think there is 4 ways to do it:
- Doing an Iterate Row Selection which I applied an If (Area: >=5KM, <=0. 5KM) to select the proper process (Spliting - Merge) for the row.
- Doing different selection by attribute for each possibility, and applied the process by step.
- Try to do it in python with limited experience.
- Do it manually. :(
The splitting and merge process still to design.
Do you ever experience something like this? Maybe you have an idea?
