1. Project Context Technology – Mobile devices – Internet – GPS Raw Data – Property appraiser: home value, GIS dimensions of lot and house, neighborhood, add-ons, sales history, etc.

2. Property Appraiser Data Chris Meyers

3. Background Property data is publicly available by law – May not be digitally available Leon County is digitally available RAW Data: home value, GIS dimensions of lot and house, neighborhood, add-ons, sales history, etc.

4. Motivation Technology increase quality of life – Aid in decision making – Answer questions – Save time

5. Queries & Views Hand in hand Views are the most important – Design the views and the queries will become easy Two paths when developing views – Rigid – Flexible

6. Where to start Research how existing property data is presented. Role play/use case – Parameters: single, married, family, income, new to the city – Will help to extract Queries Data views

7. Use case #1 Recently married with possible kids in the future and a joint income of $70,000 in city that I currently have lived in for 4 years.

8. Questions How much should I spend on my home? – 30 % of income What houses are for sale < $150,000 and are at least 3 bedroom 2 bath? How much are houses in this neighborhood worth? – Filter only comparable houses How much have comparable houses in this neighborhood sold for? What’s the crime like in this neighborhood, region, street?

9. House for Sale

10. Compare $125,000 3 bed 2 bath 1,242 sq. ft.11 acres Built in 2006

11. Where is the house?

21. Simplify the Process Present existing data in a more user-friendly manner

22. Pre-existing view

23. Optimal View

24. Detail View

25. Stats History Similar 1200 sq ft 3 bed 2 bath Screened in Porch Pool

26. Stats History Similar

27. Stats History Similar Find: Square foot | Price | Location 1200 <= $120,000 == Street 1230 sq ft. $100,000 YES 1200 sq ft. $110,000 YES 1100 sq ft. $120,000 YES

28. Problem Google Street View doesn’t support overlays Generally a hard problem

29. Solution Take a frontal “snapshot” of each house on the current street Present them as a slideshow with data overlaid

30. $125,000 2,000 sq. ft. 2 bed 2 bath

31. $130,000 2,200 sq. ft. 2 bed 2 bath

32. $122,000 1,930 sq. ft. 2 bed 2 bath

34. Break down for class Part 1: Insert the property appraiser information into an Android database. Consider a few common queries when designing the schema. (See notes on this slide) Part 2: Working with input: – slide bar to select the price range – List to select neighborhood Sort list alphabetically or [geographically]

35. Break down for class Part 3: Display query results Part 4: Overlay data onto street view Part 5: GPS radius based Part 6: Optimization – Store DB on server – Cache larger and larger radius

36. Looking back Some features that seem useful at first may become annoying. Remember, our goal is to help the user make decisions, not make decisions for them. We don’t want to limit the data that the user can access.

37. The End Questions ?

38. Brainstorming What can you do with the data? Data presentation – Spatial, price, date Data storage/access – Remote/local, flat/db, compressed Queries supported – By price, date, price and date – Will queries be limited by data layout?

39. Presentation Context Motivation Background – Property, not so much mobile devices Possible queries Possible views Data considerations Ideas???