mark-p-thomas : Statistical Methods for Dynamic Cleaning & Splitting

This feature is partially complete and will be available in v1. Until then, you can view standard deviations in the Stats display.

In addition to using pre-determined criteria for a particular activity in order to determine splitting, smoothing, etc. of Tracks, GIS.ly can conduct statistical analyses of the Track and sliding window sections in order to determine bucketed trends (e.g. elevation rate gain for a given slope range). This preprocessing allows the app to then determine outlier points or sections, relative to the overall trend of the track.

Such a method may be a better fit, as even in activities such as hiking, trail/terrain/snow/weather/routefinding conditions can greatly affect typical speeds. While some of this can be addressed by statistically analyzing enough representative GPS recording samples of a similar section or on the actual Route, this method proves to be more versatile and reliable, not needing user data that may be highly variable.