Simple implementation of GPS position filtering ( cheap pseudo Kalman )
As told by Menion, Locus does not currently use filtration of GPS position. Such filtering ( ala GPS averaging ) could be useful for geocaching or terrain surveying for OSM mapping.
I got idea of optional use of such filtering, eventually triggered by speed limit, similarly as magnetic compass is.
I suggest very simple filtering, using weighted average of the measured position and the position predicted from previous 2 filtered positions - a kind of a cheap pseudo Kalman filter. Prediction supposes you are moving without acceleration, with initial position, direction and speed given by last 2 filtered positions.
N is an index of position timeline
X is weighting factor, the higher means stronger filtration. 0 means zero filtration, >>1 means very strong filtration
Note that such filtering will apply to altitude as well, as part of 3D position.
As first 2 filtered positions would be trivially taken 2 subsequent measured positions.
Edit: As a waist shoot, values X=1-4 could be a good trial values.