This presentation outlines my work at the Local Futures and the PhD research. I have been working on a combined project between Local Futures and UCL and the presentation starts by giving an introduction of the project. My PhD investigated the creation of Real-time bespoke geodemographics, and this presentation presents the work i did during the PhD journey.

1. Visualising large spatial databases and Building bespoke geodemographics Muhammad Adnan University College London

3. Worldnames (http://worldnames.publicprofiler.org)

4. Onomap (http://www.onomap.org)

5. Nov. 2009 – Oct. 2011 (A KTP between UCL and Local Futures Group)

6. LFG is a research and strategy consultancy

8. Data sources cover social, economic, and environmental change in the UK

9. The data is held at 8 spatial levels

11. Building Bespoke Geodemographics

16. How a classification is created ? Cluster Analysis Variable 2 Cluster 1 Cluster 2 Variable 1 Cluster 3 K-means is used for clustering

17. How a classification is created ? Output of Cluster Analysis

19. K-means

20. PAM (Partitioning Around Mediods)

21. Open Tools ?

22. OACoder

23. GeodemCreator

24. Bespoke local area classifications

25. UK’s open data initiative

26. ONS Neighbour Statistics API

27. UK’s police API

29. K-means optimisation

30. K-means(100 runs of k-means on OAC data set for k=4)

31. K-means(100 runs of k-means on OAC data set for k=4) Run k-means multiple times (10,000 times) (Singleton & Longley, 2009)

33. Can be used for parallel processing

34. NvidiaGeForce GT 420M (96 GPUs)

35. Latest Telsa graphics cards have 1000 GPUs

36. CUDA (Computer United Device Architecture)

37. Parallel computing architecture

38. C and C++ can be used for programming

40. Open Tools for Geodemographics

41. Open Tools - OACoder Developed with Alex Singleton Assigns UK’s postcodes their corresponding OAC groups Download from http://areaclassification.org.uk/

42. Open Tools – ‘GeodemCreator’ Allows users to create their local area Geodemographic Classifications Provides data available in the public domain (but users can use ancillary data sources)

43. Open Tools – ‘GeodemCreator’ Allows users to create their local area Geodemographic Classifications Provides data available in the public domain (but users can use ancillary data sources) Will be available to download from http://publicprofiler.org

44. Spatially Weighted Geodemographics

46. A spatially weighted Geodemographic classification introduces spatial weights in addition to the socio-economic characteristics

47. Tobler’s first law of geography

49. Spatially weighted Geodemographics Step - 1: Construct a Neighbours Graph

51. Values of spatial auto-correlation range from -1 to 1

53. Spatially weighted Geodemographics Step - 3: Apply K-means Moran’s I Result

54. Spatially weighted Geodemographics Result

56. A testing of Spatial Weighted Geodemographics technique

57. On lower spatial levels

58. I will be working on the new research grant of Paul Longley on “Uncertainty of Identity”

59. How behaviours of people in the real-world could be mapped with their behaviours in the virtual world ?

61. A quick illustration

62. A quick illustration

63. References Adnan, M., Longley, P.A., Singleton, A.D., Brunsdon, C. (2010) Towards Real-Time Geodemographics: Clustering Algorithm Performance for Large Multidimensional Spatial Databases. Transactions in GIS, 14(3), 283 – 297. Hall, J.D., Hart, J.C. (2004). GPU acceleration of iterative clustering. In: ACM Workshop on General-Purpose Computing on Graphics Processors, p C-6 Harris, R., Sleight, P., Webber, R. (2005). Geodemographics, GIS and Neighbourhood Targeting. Wiley, London. Reynolds, A.P., Richards, G., Rayward-Smith, V.J. (2004) The Application of K-Medoids and PAM to the Clustering of Rules. Lecture Notes in Computer Science. 3177/2004, 173-178. Singleton, A.D., Longley, P.A (2008). Creating open source geodemographic classifications for Higher Education applications. Papers in Regional Science, 88(3), 643-666. Takizawa, H., Kobayashi, H. (2006). Hierarchical parallel processing of large scale data clustering on a pc cluster with GPU co-processing. J. Supercomput.,36(3):219–234. Vickers, D.W. and Rees, P.H. (2007). Creating the National Statistics 2001 Output Area Classification. Journal of the Royal Statistical Society, Series A. 170(2), 379-403. Any Questions ?