1. Mapping London

2. Software examples MapInfo Arc GIS- Same functionality as MapInfo Instant Atlas MapQuest and others Improve data visualization Enhance communication Capture the audience’s attention Display large amount of information

3. Presenting Data Thematic mapping- –Shaded/coloured map, Bar/Pie charts, Dot density, Grid Point mapping –Uses X & Y coordinates to display geographical data or landmarks Geo-coding –Uses postcode to display geographical data or landmarks

4. Thematic Mapping Map boundaries – –Supplied by ordnance survey (OS) Different geographies –Regional, Local Authority, Ward, MSOA, LSOA

5. Thematic Mapping Data in Excel columns Boundary Code –E.g. 00AC = Barnet

6. Thematic Mapping Map layers –Supplied by OS Landmarks or points of interest such as rivers, roads or parks

7. Thematic Mapping

8. Point Mapping/Geo-coding Displaying geographical information such as landmarks –Use postcodes –Use X & Y coordinates- eastings and northings coordinates. –Coordinates from a specific reference point on the earth’s surface –For example the coordinates for the Indian YMCA are X= 529229, Y=182087

9. Point Mapping/Geo-coding Mapping NHS organisations in London –Acute Trusts –Foundation Trusts –Mental Health Trusts –Primary Care Trusts Converted postcodes to XY coordinates

10. Interactive Mapping MapInfo built in clickable PDF Enable use of dynamic layers Use this for point and thematic mapping Enables users to select and use what they require

11. Interactive Mapping- Thematic Dynamic layers Multiple indicators

12. Interactive Mapping MapInfo converts information into html allowing for web-based interactive maps.

13. Instant Atlas User friendly interactive maps Quick to produce More dynamic than MapInfo- Double map allows view of multiple indicators Easy to access- web-based Time-series

14. Instant Atlas- NOO example

17. Example in policy work London survey on attitudes towards alcohol –Average weekly spend by LA Graph or map? No geographical visualisation with a graph

18. Example in policy work

19. What may be causing the high weekly spend? A high number of alcohol points of sale? Wealthy residents? –DCMS (Department for Culture, Media and Sport) data on number of licensed premises per borough. –ONS data on residents per borough –Outlet density (number of residents per alcohol outlet)

20. Example in policy work

21. Example from policy work Association is not causation More investigation always required –Cost benefit analysis of night time economy –Impact of interventions e.g change of licensing law

22. Mapping in the future People living on less than $1 a day

23. Mapping in the future People earning over $200 a day