Mapping Urban Data

The keynote at "Open GIS" conference in Moscow, 22 Novemver 2015. Viewable version with captions.

Transcript

1. Mapping urban data Andrey Karmatsky @urbicadesign
2. We’re focused on the human experience in cities
3. Hills Heights in Moscow
4. GгуыеЬ SRTM3 data
6. < 0.5 0.5 – 3.0 > 3.0 calculating angles for roads
7. < 0.5 0.5 – 3.0 > 3.0 calculating angles for roads
8. elevations data visualisation
9. MAPS.ME World map design
10. comparison stage
11. Identifying a problem
12. Old style Two-step map style implementation Transitional style New style
13. Old style New style
14. Old style New style
15. Old style New style
16. Subway map icons uses their local insignia
17. Bikes Urban data analysis for Department of Transport
19. playing with the data
20. docking stations density grid
21. Sudoku game
22. …
23. Hmm!!
24. Rent fares by days of week
25. There is no GPS-data, calculating paths by OSRM
26. We have analyzed the performance statistics of the city bicycle rental in 2015 for the Department of Transport of Moscow. Data on 812 000 rides at 300 rental stations were studied and analyzed taking into account each ride direction and thematic segments.
27. We identified of usage bicycles in various districts of the city, and analyze how a day of the week, time of the day and the weather conditions affect the rental for different categories of riders.
28. We developed interactive data exploration tool which makes huge amount of data clear and understandable for various kinds of users.
29. For example, this statistics shows the stations with an uneven ratio of arrivals/departures and will help to optimize the routes of vehicles relocation of bicycles.
30. Source data: github.com/urbica/velodata Interactive data visualisation: urbica.co/bikes
31. Walking Streets Urban environment research
32. Facebook friends survey: What makes street walkable?
33. First prototype with fake data
34. Walking Streets it is an independent research of pedestrian conditions in the center of Moscow. The width of sidewalks, accessibility to venues, underpasses, street noise pollution and interesting places have investigated.
35. Data collection. 93 km of sidewalks in the center of Moscow have measured.
36. Sidewalks map
37. Venues and streets accessibility evaluation.
38. Accessibility map
39. During the research we collected a dataset of city noise levels in the special Instagram account (via InstaDecibel app).
40. Noise map of the center of Moscow
42. June 2015 State of data at the start
43. November 2015 Current state of the data
44. Meet Vika. She is a volunteer. Vika helped us to gather a lot of sidewalks data during her summer evening walks.
45. Further plans • Parametric routing • New data layers • New cities
46. walkstreets.org
47. Study Learn and map
48. In addition to projects we’re teaching how to visualize geodata. Cartography, data representation principles, tools and coding skills.
49. Student’s work (Vladimir Osokin)
50. Student’s work (Alexey Larchenkov)
51. Thank you urbica.co @urbicadesign