I have a dataset of many (>13 million) points, representing borders of potential quick clay zones, and need to enclose them exactly by polygons. Each cluster has an ID, however, the tools "minimum bounding geometry (convex hull)" and "concave hull" yield larger areas than the minimum which would enclose the points. Is there a more precise way to get the minimum bounding area?
(Basically, I want the red areas removed)
"ID"
and apply the Concave hull with iterating over each feature or (2) Split features by"ID"
then apply the Concave hull and after merge the outputs from the previous step