I am editing a Trimble Pathfinder .cor file to reduce standard deviation on collected points in features and meet government standards. Some features have a large standard deviation between contributing points, but not many points collected as part of the feature. However, there are numerous points right near the feature which are not part of any feature, but it's pretty obvious that they were collected in the same place as the feature (i.e. they're all <3m away from the feature). The feature's points spread out across a 10m area and average to a point right near these unassigned points, but not many points were collected as part of the feature so if I delete the outliers to tighten the cluster I don't meet government standards for # of points collected.
I would like to tell Pathfinder to take the unassigned points and add them to the existing feature, thereby increasing the number of nearby points in it to average, and allowing me to delete the points furthest away to create a tighter cluster (and smaller standard deviation) on that feature.
Anyone know if this is possible?