Maps & Scale

Maps are easy, right? Right. Except... when they aren't. What about when you need to mix multiple data types on your maps? What about when the simple solutions (paging) to complex problems (too much data) don't cut it with your users? What about when your scaling problems exceed the bounds of all the available solutions?

Transcript

1. Maps & Maps and Scale & Scale
2. Lori M Olson @wndxlori http://wndx.posterous.com Photo Credit: @etrever
3. Maps are Easy Right?
4. Small numbers < 1k
5. Including Details
6. More data? limit numbers
7. Paging
9. What kinds of Scale problems?
10. Datatypes
11. Markers
12. Polylines
13. Polygons
14. Complications
15. Data exceeds 10k
16. Discontiguous segments
17. Multiplicative factors
18. 1000 polylines * 100 segments/line = 100,000 map items!!!
19. Size variations
20. Discontiguous parts
21. Donuts!
22. Land lease with donut
23. No Code Generation!
24. Maybe Not So Easy?
25. Serious Complications
26. Data exceeds 100k
27. Hundreds of Thousands
28. Millions of line segments
29. Hundreds of Thousands (again)
30. Event handling
31. Network latency
32. Solutions
33. Data doesn’t change? TILE
34. Without and with the grid line tiles
35. Aggregation
36. Aggregate wells to fields
37. Limit data transfer size
38. On-demand Details
39. Clustering
40. Server clusters
41. Analytic functions - NTILE
42. NTILE and group by lat/ long.
43. Counts!
44. Client-side
45. Levels & Cells & Caching
46. Polyline encoding
47. Zoom filtering
48. Cutoffs
49. Zoom Gotchas
50. Screen resolution
51. 24” Cinema Display
52. iPad
53. WIMBY2 Wells In My Back Yard
55. http://wimby2.herokuapp.com https://github.com/wndxlori/wimby2
56. Thanks! @wndxlori