-
Hi @davide-f, So next to removing the option to run (my bad), are there ideas to increase the performance? |
Beta Was this translation helpful? Give feedback.
Replies: 1 comment 1 reply
-
Unfortunately, I am aware of that problem and it is not an easy answer. The best would be to use a function like groupby on geometries with tolerances. I have searched for it but that's not a trivial think to do. If tolerances of 5-10km are acceptable, than the solution above could work. Note, the tol=4000 is just a temporary fix because of the issue #124 ; once the latter is solved, the tolerance could be reduced |
Beta Was this translation helpful? Give feedback.
Unfortunately, I am aware of that problem and it is not an easy answer.
First, don't get scared about the numbers, which often are like X/69000 points, because after 30-40%, it speeds up incredibly.
Anyway that function is slow and the ways to improve the performance relate to different ways to cluster the nodes.
That functions cluster with a tolerance in meters.
The best would be to use a function like groupby on geometries with tolerances. I have searched for it but that's not a trivial think to do.
I thought that we could use a groupby using rounded GPS coordinates, which would be way faster, yet sometimes the accuracy is not equivalent and dependent on the specific GIS location.
If to…