I need to find the top/bottom turningpoint of a dataset - as seen on the image below. these are expressed as x,y,z and possible more attributes. Is there another way than python?
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Well, the direction at the turnover will flip.
You can test for that occurrence. First quadrant=> third, second to first etc.
If you chop the lines by 1 vertex they will be ordered per polyline. Maybe set an id if needed.
You can use azimuth calculator and test for quadrants at all vertices.
So you can use a attribute creator with prior and/or subsequent features to scan for the changes.
3D peaks (local maxima) require bit more work of course.
I have not tried finding local maxima by just using fme (without scripting) though.
Assuming that the curve is a polyline, this workflow finds segments that start with turning points in Y direction. If you need to find turning points in Z direction, replace all "y" in the workflow with "z".
