1. My Utopian Home By: Lynray Barends, Zola Mahlaza & Grace Jegede

2. Visualisation Motivation  People move to highly urbanized areas for employment/studies/relaxation  But struggle to find good accommodation  We are proposing a visualized way of finding accommodation

3. What people consider:  Affordable  Safe  close to their work or study place

4. Related Works 1. Property24  List formatted data  Not relative to a workplace 2. Gumtree  List formatted  Site has many other features  No map provided

5. Related Works 3. www.spaceage.co.za: Data analysis - South African crime stats by Vusi Nkomowww.spaceage.co.za  http://goo.gl/MY3bxX  Crime statistics on a provincial level  Not linked to finding accommodation

6. Important factors:  Affordability - Price  Safety - crime rate  Distance to work place/school - Proximity to X

7. Prototype 1 1.1 Price and DistanceVisual Queries 1. Which apartments are within a 2km radius from place x? 2. Which of the apartments is the cheapest? 3. Where is place x on the map?

8. Prototype 1 1.2 Bar graphVisual Queries 1. Which apartments are within a 2km radius from place x? 2. Which of the apartments is the cheapest? 3. Where is place x on the map?

9. Prototype 1 1.3 SafetyVisual Queries  Which apartments are within a 2km radius from place x?  How safe is the area where I will be living?  Where is place x on the map?

10. Prototype 2 1.1 Dart BoardVisual Queries 1. Which apartments are within a 2km radius from place x? 2. Which of the apartments is the cheapest? 3. How safe is the area where I will be living?

11. Prototype 2 1.2 ColourVisual Queries 1. Which apartments are within a 2km radius from place x? 2. Which of the apartments is the cheapest? 3. How safe is the area where I will be living?

12. Prototype 1 Analysis Map to show relative positions Bar graph to easily compare price ‘heights’ Colour over textures for crime rate of whole areas(avoid clash with map ‘texture’)

13. Prototype 2 Analysis Using colours green, yellow, red for increasing crime rates Distance represented by radius x km Occlusion, 2.d, colour intensities for ‘closeness’

14. Data Sources  Map :Google Maps  Prices: Property24  Distance: user input  Crime: www.crimestats.comwww.crimestats.com  Crime: Western cape government site  find more on: www.inavigate.comwww.inavigate.com

15. Design 1: FinalDesign 2: Final Thank you!