1. THE BIG ATLAS OF LA POOLS JOSEPH LEE A part of the Hands-On Ideas series 2013.10.16

2. About us Benedikt Gro From: Germany M.A: Royal College of Art, London Interaction & Speculative Design Joseph Lee: From: USA B.A: UCLA Geography/Cartography & Environmental Science We met at the Massachusetts Institute of Technology, Summer 12

3. DI Trip What inspired this work? Relevant image here

4. What inspired this work? Relevant image here

5. What inspired this work? Q: How many swimming pools are in LA?

6. What we wanted to explore Interaction Design Geography

7. THE BIG ATLAS OF LA POOLS A process-based exploration of new tools and emerging issues in data privacy

8. About the project Overview: Start with ~17gb of aerial imagery of LA NA I P O r t h o i ma ge r y L os A ngeles ( a e ri al i ma ge r y ti les ) Po o l - S ha p e Tra c i ng by C l ipp i ng fa c to r y. co m ( Crowd S o u rc i ng ) Co rre c tio n M a rks by Jos e p h & B ene dikt ( E x p e r t Revi ew ) Computer vision not suitable for task H i gh - Res C h e ck by A ma z o n M e cha n i cal Tu rk ( Crowd S o u rc i ng ) H i ts Res u l t A H i ts Res u l t B Crowdsourcing Do b o t h A ma z o n M e cha n i cal Tu rk wo rke rs a g re e ( Yes / No ) ? Data Enrichment Books, Posters, and The LA Swimmer C h e ck o f co ntrove rs i al o n es by Jo ey & B e n e d i kt ( E x p e r t Revi ew ) Fi nal Da tas e t S a tell i te & Ae ri al I ma ge r y B i ng M a ps

9. Traced!

10. A: ~64200 Pools Sum Area: 2157056,65 m (= 2,157 km) Maximum Area: Mean: 33,59 m 1312,47 m 16

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13. ~64200 ~52340

14. Limits of resolution Really a pool? 20

15. Google/Bing/Nokia ... Maps

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17. A: ~43123 Pools Sum Area: 3192640.04 m (= 3,192 km) Maximum Area: Mean: 74,03 m 485214,42 m 24

18. ~52340 ~43123

19. hood pages count Long Beach 360 2859 Rancho Palos Verdes 326 2592 Beverly Hills 313 2481 Downey 262 2078 Brentwood 242 1920 Torrance 242 1917 Hollywood Hills West 197 1559 Beverly Crest 175 1379 Bel-Air 164 1289 Palos Verdes Estates 143 1124 Rolling Hills Estates 110 858 Lakewood 104 809 Carson 96 747 Westwood 95 737 Monterey Park 94 731 South Pasadena 90 703 Westchester 90 701 Santa Monica 86 668 Hollywood Hills 80 619 Hancock Park 77 593 Los Feliz 76 587 Ladera Heights 74 574 Inglewood 73 563 San Pedro 72 560 Alhambra 71 552 Rolling Hills 66 507 Culver City 60 461 Manhattan Beach 60 458 View Park-Windsor Hills Cheviot Hills 58 448 58 445 Bellflower 57 439 Baldwin Hills/Crenshaw Mar Vista 55 421 52 395 South Gate 51 392

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21. THE LA SWIMMER: 43,123 POOLS I HAVE NEVER VISITED AND NEVER WILL Google Street Car / Hyperlapse.js meets The Big Atlas of LA Pools

22. The LA Swimmer: 43,123 Pools I Have Never Visited and Never Will

23. POST-PROJECT Now What

24. What we learned There are a lot of data that are freely available and even more that isnt. There are a lot of open-source tools that can be leveraged to do complex/weird tasks. What might data mining look like at an institutional or governmental level?

25. How you can build off our work (Ab)use the available tools Ask questions relevant to your own community or social-physical landscape Think spatially how are things related in space and time. Find ways of collecting your own data

26. QUESTION AND ANSWERS