This document provides instructions for mapping a marathon using various tools: 1. Use RunKeeper, Strava, or Nike+ to track a run and export the GPS data as a GPX file. Convert the GPX file to a shapefile using ogr2ogr and append multiple runs. 2. Style the tracks in Mapbox or Carto including thin lines for the marathon track and thicker semi-transparent lines for the GPS tracks. 3. Aggregate marathon finisher data by city using Python and publish the results as an interactive map in Mapbox or Carto, with city points sized by number of finishers and colored by average time.

1. Mapping a marathon

2. Nutrition Stride
Challenge
Feeling good
Fitness Motivation Music
Mapping

3. 1.Run
use RunKeeper, Strava, Nike+ (must allow export)
2.Export gpx to shapefile:
$
ogr2ogr
runs
first-­‐track.gpx
$
ogr2ogr
-­‐-­‐append
runs
second-­‐track.gpx
3.TileMill it
4.Publish in Mapbox

4. Carto for Marathon track:
- Thin blue
Carto for tracks:
- Thin opaque red
- Thick semi-transparent yellow
- THICK very transparent green

5. GPS errors contribute to create the
circulatory artery scheme

6. 20.000+ finishers, with their times, gender, ages, City, ...

7. 20.000+ finishers, with their times, gender, ages, City, ...

8. 1.Run the Marine Corps Marathon [optional]
2.Import to Google Refine to fix names and geocode (via Yahoo):
3.Aggregate data by city with python
[Input]:
Places=[r['Location']
for
r
in
runner
if
'Location'
in
r]
...
4.TileMill it
5.Publish in Mapbox

9. Carto
for
cities:
-­‐
Size
∽
/inishers
-­‐
Color
∽
time
for
best
10%
-­‐
Tooltips
with
city
info

10. logging app with export
GPS
analyze data
~40.000 steps
(1 million steps in training)
Customize geo
data
Prepare (geo) data
Hosting + map
layers geolocation of city names

11. Live tracking