Client: None — independent research, restyled and extended from the 2012 thesis maps
Location: Tallinn, Estonia
Year: 2014
Sector: Mobility Data · GPS Tracking · Urban Analytics
A restyled, extended version of SPIN Unit’s original Endomondo cycling-data maps, adding a new satellite overlay of Tallinn’s Old Town and a time-of-day “morning paths” analysis.
Two years after the original Endomondo bike-path maps, the team revisited the same GPS dataset with a new visual language and two new analytical angles: what cycling looks like against a real satellite image of the historic centre, and how morning travel patterns specifically differ from the rest of the day.
Built directly on the 2012 Endomondo Biking in Tallinn project and its underlying CIVITAS MIMOSA / European Cycling Challenge dataset — no new client or commission is documented; this reads as SPIN Unit re-processing its own founding dataset for the studio’s growing portfolio.
The same GPS trace data, re-banded by trip length and re-rendered in a lighter cartographic style, plus two new outputs: traces overlaid directly on Old Town satellite imagery, and a graduated “morning paths” intensity map isolating morning-hours trips specifically.
A restyling and extension exercise rather than a new field study — new map exports dated 2014–2015.
- The historic centre remains the fixed anchor of the network regardless of trip length — the same “knot” of streets recurs across every distance band.
- Traces form a dense ring around the Old Town’s perimeter boulevards but almost never cut through the pedestrianised historic core itself.
- Morning trips show a small number of very high-intensity segments near the centre and harbour-adjacent boundary road, against a broad, low-intensity halo of morning activity across residential districts.
No client outcome — this remained internal portfolio/methodology material, and (per the 2012 entry) may be best presented as a single combined case study rather than a separate one.