Azavea is working with OMB Watch and Esri to develop a new online software tool that supports mapping of socioeconomic need against federal stimulus spending. To perform these calculations online requires significant performance improvements over existing geoprocessing tools. Azavea has developed a high performance distributed processing system, DecisionTree, to support highly scalable raster processing on the web. Presented at the 2011 Esri Federal User Conference.

1. Robert Cheetham, Azavea [email_address] Online Spatial Analysis for Spending Equity Mapping Esri Federal User Conference 20 January 2011

3. EGAP Application

5. EGAP

6. EGAP

7. EGAP

8. EGAP

9. EGAP

10. EGAP

11. EGAP

12. EGAP

13. EGAP

14. EGAP

15. EGAP

18. Where did this come from?

19. Classic Spatial Analysis Scenario How do you identify an area that matches your priorities? Searching for a house, for instance… Walk to Grocery Store  Biking Distance to Work  Near Restaurants  Near Library  vital very important somewhat important nice to have

20. Weighted Overlay + + + = x 5 x 2 x 3 x 1

21. Desktop GIS

26. How does it work?

27. City of Philadelphia How does it work?

28. Broken into a grid of cells City of Philadelphia

29. City of Philadelphia Broken into a grid of cells Each cell has a value for any given layer of information

30. City of Philadelphia Broken into a grid of cells Each cell has a value for any given layer of information

31. City of Philadelphia Broken into a grid of cells Each cell has a value for any given layer of information

32. City of Philadelphia Broken into a grid of cells Each cell has a value for any given layer of information This cell based approach enables us to combine layers using a process called map algebra 1

33. Proximity to Transit Lines High Per Capita Income High Density of College Grads High Density of Home Sales In An Economic Incentive Zone Business siting is about making a choice based on the composite of several location based decision variables

34. Proximity to Transit Lines High Per Capita Income High Density of College Grads High Density of Home Sales In An Economic Incentive Zone Map Layers

35. Proximity to Transit Lines High Per Capita Income High Density of College Grads High Density of Home Sales In An Economic Incentive Zone Map Layers

36. Proximity to Transit Lines High Per Capita Income High Density of College Grads High Density of Home Sales In An Economic Incentive Zone Map Layers

37. Proximity to Transit Lines High Per Capita Income High Density of College Grads High Density of Home Sales In An Economic Incentive Zone Map Layers

38. Proximity to Transit Lines High Per Capita Income High Density of College Grads High Density of Home Sales In An Economic Incentive Zone Map Layers

39. Proximity to Transit Lines High Per Capita Income High Density of College Grads High Density of Home Sales In An Economic Incentive Zone x 2 x 4 x 5 x 2 x -2 + Output Decision Raster Map Layers

40. Proximity to Transit Lines x 2 High Per Capita Income x 2 Density of College Grads x 4 Density of Home Sales x 5 Economic Incentive Zone -2 Generate Output Heat Map

41. What we did

43. Distributed Processing

45. Walkability: Walkshed.org

46. Walkability: Walkshed.org

47. + + + + + + + + =

49. Land Conservation

50. Elections

51. Elections

52. Sea Level Rise

54. Many Thanks! © Photo used with permission from Alphafish , via Flickr.com

55. Robert Cheetham, Azavea [email_address] Online Spatial Analysis for Open Data Esri Federal User Conference 20 January 2011