I have a GPX file with track points and I want to average the points spatially to improve accuracy of the point feature. I can't just make a polygon and find its centroid as the number of overlapping points in a certain location should "weight" the result more than another location with few points. ie. if the field data collector was standing in one spot for 2 minutes I should have the bulk of points 'drifting' around the likely location of the point, and have scattered outliers around that, by averaging spatially based on all the points the outliers would be discounted in favour of the clustered points in the averaging.
Do I have to make a raster grid with small resolution and overlay it on my points and then count the points in each cell, or is there an easier geoprocessing kind of function to simply tell me the center coordinates (or make a new point) for the average center?
Thanks.
أكثر...
Do I have to make a raster grid with small resolution and overlay it on my points and then count the points in each cell, or is there an easier geoprocessing kind of function to simply tell me the center coordinates (or make a new point) for the average center?
Thanks.
أكثر...