Closed nicopere closed 1 month ago
I think it's likely gpx.studio uses a smarter algorithm, with some slight smoothing over a few consecutive points, to mitigate the possible jitter in altitude measurements by GPS – especially on higher recording rates like 1Hz.
Computing the elevation gain is a equivalent with the "Coastline Paradox" - so there is no well defined right value!
@ChrilleSchappe Exactly. That's why I didn't bother implementing a more "clever" algorithm here – whatever I chose it would be wrong. So I provide the simplest "here's the sum of all positive deltas".
Thanks guys for your clever answers. In the meanwhile I came across this where the problem is nicely explained for the unaware (like me ;-). Not sure though this is the same numerical issue as computing the length of the (fractal) coastline of, say, Brittany. What is strange: the discrepancy actually increases when replacing GPS measurements by gpx.studio's DEM (my GPS data were smoother!). I will look into the code of gpx.studio to get an idea of their algorithm (not documented otherwise). Cheers, Nicolas
Hello,
Related to that issue but not convinced by the end of it, hence I am proposing it anew.
In my understanding,
get_elevation_gain()
is basically computing the difference in registered altitude from point to point and adding only the positive ones. I can't understand why this relatively simple computation is giving such discrepancies on the very same gpx file (comparing with gpx.studio in my case).One example (among others):
These tracks (bicycle in Brittany) have numerous short elevations so I suspect some sort of rounding error...
Currently using leaflet-gpx 1.7.0.
Nicolas