GAFFTA Visualizing and Mapping Data, Day One

Transcript

1. Visualizing and Mapping Data Michal Migurski & Shawn Allen, Stamen Design GAFFTA February 2012 http://sta.mn/633
2. Who is Stamen?
7. Day One: Dots On Maps
8. Dots
10. Dots can be symbols
11. Guessing Game
12. http://sta.mn/sw Dots can can be good symbols
13. http://sta.mn/z6q Dots should fit the map
14. Dots can include data
15. http://sta.mn/8tm Dots are ubiquitous
16. Advanced Dots Clusters and point density maps
17. “Red Dot Fever”
18. http://sta.mn/y8v ← Chinatown
19. http://sta.mn/zzz This map is counting many small things
20. http://sta.mn/htj Clustering, grouping
21. http://sta.mn/c4j Three dimensions shown by color
22. http://sta.mn/hn9 One dimension shown by hue
23. http://sta.mn/hrw Let patterns emerge
24. Tiles
25. MapQuest, ca. 2004
30. data
31. data style
32. data style images
33. data style images interaction
34. Days 2, 3, and 4
35. Where Data Comes From Finding, processing, cleaning, publishing point-based location and address data
36. Custom Cartography Using OpenStreetMap and government data to develop your own custom base maps
37. More Spatial Data Census tracts, heat maps, and aerial imagery
38. Time to follow along: http://sta.mn/633
39. 1. Lists of Pins
40. 2. Click Interaction
41. 3. Placement on Map
42. 4. Tiles
46. Z: 1 X: 0 Y: 0 Z: 1 X: 1 Y: 0 Z: 1 X: 1 Y: 1 Z: 1 X: 0 Y: 1
47. 1/0/0.png 1/1/0.png 1/1/1.png 1/0/1.png
50. 5. Simple Tile Grid
51. 6. Panning a Map
52. 7. First Slippy Map
53. 8. Adding Map Pins
54. Fin.