Statistics are given in the details page of landmarks.
Display the details of a track to get its complete details page, made of
The statistics section is divided in sub-sections:
“Date”
(the start date and time), “Time”
(the total time elapsed between the start and the end), “Stopped”
(the total stopped time, sum of rest time of all breaks), “Length”
(the total length) and “Calories”
(estimation based on the length, speed, inclines and user weight);“Min/Max”
(the overall minimum and maximum elevations) and “Gain/Loss”
(the cumulative elevation gain and loss, see below);“Total”
(the speed when moving, computed from the total length and the moving time; the total time minus the stopped time) and “Up”
(the ascent speed).
Click on “Events”
to display the list of events occurring during the track, as well as their location on the track profile just above. Events include start and end time, locations of minimum and maximum elevations, locations of breaks (along with the rest time for each break), etc.
The statistics details page gives a static preview of the elevation and speed profile. In order to get a fullscreen and dynamic version, click on “Fullscreen”
. On the fullsccreen page, you can:
“Change X axis”
“Length”
or “Time”
;“Change Y axis”
You can change various parameters to control the way statistics are computed. To do so, click on the “Statistics settings”
icon .
Parameters you can change are:
“Noise reduction”
“Moving threshold”
“Min. break time”
“User weight”
“Include inter-segment gaps”
“Barometric elevation”
Before computing statistics and displaying graphics of a track, the application will process its raw data (usually recorded using the GPS) based on the chosen settings to remove recording inaccuracies and discrepancies. You can export the processed data in a .CSV file:
“Export as…”
“CSV file / Profile (Data file)”
After the export, you can easily share/upload the generated file using the
“Share”
button.
The following fields are exported:
“Longitude”
and “Latitude”
, the coordinates of the location buckets in the WGS84 (GPS) datum. A location bucket is a set of one or more locations from the original track, grouped together for algorithmic reasons;“Distance”
, the cumulative distance from the start point of the buckets, in meter (m);“Time”
, the cumulative time from the start date of the buckets, in second (s);“Elevation”
, the mean elevation values computed for the buckets, based on the GPS altitude values, in meter (m), over the EGM96 (Geoid) ellipsoid;“Speed”
, the mean speed values computed for the buckets, in meters per second (m/s);“Slope”
, the mean slope values computed for the buckets, in percent (%);“Sea-level pressure”
, the calibrated, sea-level equivalent mean pressure values computed for the buckets, in hectopascal (hpa);“Pressure”
, the un-calibrated, raw mean pressure values computed for the buckets, in hectopascal (hpa);“Barometric elevation”
, the mean elevation values computed for the buckets, based on the pressure values, in meters (m), over the EGM96 (Geoid) ellipsoid;“Accuracy”
, the mean accuracy (with a 68% confidence) values computed for the buckets, in meter (m);“Elevation (diff.)”
, the mean difference values between the GPS elevations and the barometric elevations for the buckets, in meter (m);
The gain is an important value that helps to appreciate the overall profile of a track. A small gain means that the track is mostly flat, a high gain means you'll have to climb a lot.
Strictly speaking,
In order to compute these values, it's important to define more precisely what means “along the track”.
A first definition would be to only take into account the altitude differences between mountain passes and summits. If you start a hike at +150m, climb to a summit at +500m, then go back to your start location at +150m, your gain will be 350m. In practice, trails usually don't go straight forward to the summit, but will go uphill for some time, then downhill a little bit, then uphill again, etc. This first definition doesn't take all these small changes into account, and will then lead to an under-estimated gain.
Another definition would then be to take into account the altitude differences between all the locations that make the track. Now imagine a track recorded with a GPS along the sea. The GPS, having an imperfect accuracy, will record altitudes of [+1m, +2m, 0m, +1m, -1m, +2m, …]. With this small segment of 6 locations, we have a gain of +5m. With a track of 1000 locations, it would lead to a gain of more than +800m which is a very over-estimated gain, since the track is along a flat shoreline and should have no gain.
At then end, the “perfect” gain definition would be something between these two ones. In order to compute the best gain approximation, the application will first remove noises from the track (including the GPS inaccuracy) to create a smoother altitude profile, and then compute the gain based on each location altitudes.
You can disable or increase the noise reduction amount in the statistics settings (see above).
Here is the effect of the noise reduction on a track profile and gain computation:
“medium”
, which is the default setting. Most noises are removed, resulting in a much smaller and less polluted gain value (+1717m);“big”
. The profile smooth, with minors altitude changes lost, resulting in an even smaller gain value (+1634m).
The first gain definition given above, gives an approximate under-estimation value of +1600m for this same track.