Hey r/dataisbeautiful! I’m a bit of a data nerd and I love going for walks, so I decided to combine these interests into a project. I created a tool that visualizes the sunny and shady sections of my walks using GPX data.
Here’s what I did:
1. Used GPSLogger on my Android phone to record my walks and manually annotate sunny/shady sections.
2. Wrote a Python script to process the GPX files and create an interactive map using Folium.
3. Set up a GitHub Actions workflow to automatically update the map daily.
The result is a color-coded map showing sunny (gold) and shady (blue) sections of my walks. Each walk has a popup with stats like total distance, time spent in sun/shade, and shade percentage.
![[OC] I mapped the shady spots on my dog walks - website in comments](https://www.europesays.com/wp-content/uploads/2024/08/obqcwp2mz3hd1.png)
1 comment
Hey r/dataisbeautiful! I’m a bit of a data nerd and I love going for walks, so I decided to combine these interests into a project. I created a tool that visualizes the sunny and shady sections of my walks using GPX data.
Here’s what I did:
1. Used GPSLogger on my Android phone to record my walks and manually annotate sunny/shady sections.
2. Wrote a Python script to process the GPX files and create an interactive map using Folium.
3. Set up a GitHub Actions workflow to automatically update the map daily.
The result is a color-coded map showing sunny (gold) and shady (blue) sections of my walks. Each walk has a popup with stats like total distance, time spent in sun/shade, and shade percentage.
Check it out here: [https://github.com/wjhrdy/shady-walks](https://github.com/wjhrdy/shady-walks)
Some interesting things I’ve learned:
– My neighborhood is shadier than I thought!
– I tend to seek out shade on hot days (duh, but it’s cool to see it visualized)
– Sidewalks are often the sunniest parts of my walk.
I’m still collecting data and improving the tool.
Let me know what you think or if you have any ideas for additional analyses!