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RIDE WITH GPS ELEVATION ACCURACY FREE

The elevation profile for my original GPS capture is in blue, while the results of the smoothing algorithm are shown in green screenshot taken from potter.ca The interactive web demo allowed me to upload a recent GPX track and visually see the results of point smoothing. This module was designed to smooth GPX track elevation data. There are many different libraries and algorithms available that are designed to perform this smoothing.Ī quick Google search for “gpx track smoothing github” led me to the gpx-smoother module posted on GitHub. The idea is to eliminate (or correct) any data points that are higher than the adjacent points, providing a “smoothing” effect. The practice of point smoothing is not specific to GPS data. No experience with this but looks promising.

RIDE WITH GPS ELEVATION ACCURACY FREE

Geoapify – simple to use API with a free tier backed by data from OpenStreetMap.

MapBox Map Matching API – supports GET and POST requests limited to 100 coordinates used this several years ago on a past client project, and while it didn’t always make a match, I was impressed when it did.

While the endpoints are simple and easy to use, they are both have a limit number of coordinates they can process in a single request be prepared to chop up your route and “match” over several requests. Here are two services I found that provide Map Matching via a REST API. Map Matching in action: the collected GPS coordinates (shown in black) have been “matched” to existing trails/roads (shown in yellow) I imagine this process would be most effective when hiking very popular trails, or if you’re biking along roads. Map Matching adjusts collected GPS points to “match-up” with existing roads or trails your GPS device puts you near the trail, but the matching puts you directly on it.

Elevation Data Correction – correcting elevation data by looking up actual elevation using an API or service rather than using the phone’s reported value.

Point Smoothing – mathematical formulas to smooth out data by removing outliers, taking rolling averages, etc.

Map Matching – adjusting GPS points to match established road or trails, similar to routes “snapping” to the nearest road.

Fortunately, there are techniques out there that can improve the quality of the GPS data. I quickly learned that Smartphones and handheld GPS devices can be inaccurate at recording certain types of GPS information, like elevation 1 2. The new app does a pretty good job at capturing the GPS coordinates, but falls short of Strava’s ability to smooth-out routes and report accurate elevation (which I imagine Strava is looking-up backend rather than using the phone’s reported value). I used Strava for many years, but recently switched to another generic app called MyTracks. I love recording my GPS routes when hiking or going for a bike ride. Improving the Quality of GPS Track Data.Improving the Quality of GPS Track Data Published JOn This Page