Python script to reproduce the Strava Global Heatmap (www.strava.com/heatmap) with local GPX files
- Minimal Python dependencies
- Fast (3x faster than
gpxpy.parse())
- Download your GPX files from Strava to the
gpxfolder
(see https://support.strava.com/hc/en-us/articles/216918437-Exporting-your-Data-and-Bulk-Export) - Run
python3 strava_local_heatmap_browser.py
usage: strava_local_heatmap_browser.py [-h] [--gpx-dir DIR] [--gpx-filter FILTER] [--skip-ratio N] [--light-map]
[--output FILE] [--radius RADIUS] [--blur BLUR] [--min-opacity OPACITY]
[--max-val VAL] [--quiet]
optional arguments:
-h, --help show this help message and exit
--gpx-dir DIR directory containing the GPX files (default: gpx)
--gpx-filters FILTERS glob filter(s) for the GPX files (default: *.gpx)
--skip-ratio N read every other N point of each GPX file (default: 1)
--light-map use light map background
--output FILE output html file (default: strava_local_heatmap.html)
--radius RADIUS radius of trackpoints in pixels (default: 2)
--blur BLUR amount of blur in pixels (default: 2)
--min-opacity OPACITY
minimum opacity value (default: 0.3)
--max-val VAL maximum point intensity (default: 1.0)
--quiet quiet output
https://github.com/arichnad/heatmap-geojson to produce a heatmap in GeoJSON format from GPX files