• My personal Strava activities (cycling, running, hiking), 2023–2026.
• Outdoor activities only.
Tools:
• Strava API
• MapLibre
• Protomaps / OpenStreetMap-derived basemap
• Custom geospatial processing pipeline
Method:
• Each GPS track is buffered slightly to account for GPS noise and nearby road/path coverage.
• All buffers are merged into a single polygon representing “explored territory”.
• Areas where many tracks overlap naturally form wider “corridors” of frequently used routes.
Concept:
The idea is similar to a “fog-of-war” map: areas gradually become revealed as activities pass through them.
Note:
Tools like Wandrer or Statshunters focus on individual road segments or grid tiles.
This visualization instead focuses on continuous explored territory derived from activity tracks.
Limitations:
• Buffering approximates coverage rather than exact road/path width.
• GPS drift and missing unrecorded trips can affect the estimate.
• Only recorded activities are included.
data_daria55 on
Maybe dumb question but what exactly does the white area represent? Is it just all your GPS tracks combined?
squarallelogram on
That’s a lot of ground covered, really interesting to see it all mapped out. Have you tried using Staqc to track your fitness routines and see how they connect with other health numbers?
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Methodology (OC)
Data:
• My personal Strava activities (cycling, running, hiking), 2023–2026.
• Outdoor activities only.
Tools:
• Strava API
• MapLibre
• Protomaps / OpenStreetMap-derived basemap
• Custom geospatial processing pipeline
Method:
• Each GPS track is buffered slightly to account for GPS noise and nearby road/path coverage.
• All buffers are merged into a single polygon representing “explored territory”.
• Areas where many tracks overlap naturally form wider “corridors” of frequently used routes.
Concept:
The idea is similar to a “fog-of-war” map: areas gradually become revealed as activities pass through them.
Note:
Tools like Wandrer or Statshunters focus on individual road segments or grid tiles.
This visualization instead focuses on continuous explored territory derived from activity tracks.
Limitations:
• Buffering approximates coverage rather than exact road/path width.
• GPS drift and missing unrecorded trips can affect the estimate.
• Only recorded activities are included.
Maybe dumb question but what exactly does the white area represent? Is it just all your GPS tracks combined?
That’s a lot of ground covered, really interesting to see it all mapped out. Have you tried using Staqc to track your fitness routines and see how they connect with other health numbers?