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Towards Successful Suburban Town Centres  Visualising London’s Suburbs Presentation to: GISRUK Thursday 2 nd  April 2008 Catherine Jones, Muki Haklay, Sam Griffiths, Laura Vaughan  Successful Suburban Town Centres Project  EPSRC reference:  EP/D06595X/1 http://www.sstc.ucl.ac.uk/profiler
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overall Project Aims  ,[object Object],[object Object],[object Object],[object Object]
Selecting the case studies
Case study selection Derived from Address Layer 2 Count of general commercial address locations in the 250m buffer Derived from Address Layer 2 Count of address locations class of offices in the 250m buffer Derived from Address Layer 2 Count of manufacturing address locations in the 250m buffer Town Centre Statistics 2002 Floor space per square hectare Town Centre Statistics 2002 Total number of Employees working town centre  Derived from Address Layer 2 Count of general commercial address locations in the town centre Derived from Address Layer 2 Count of address locations class of offices in the town centre Derived from Address Layer 2 Count of manufacturing address locations in the town centre  Variable Source Variable
 
Profiler Context ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is the profiler?  ,[object Object],[object Object],[object Object]
Datasets and data processing
Datasets – socio-economic Table UV31 (Resident population) Table UV76 (Workplace population) Census output area Data for population aged 16 to 74 by their socio-economic classification Classification of occupation Ordnance Survey Address Layer 2 Points Address Layer 2 is derived from the Royal Mail postal address file (PAF), whereby each address is allocated a unique reference and national grid reference.  Functional activity land uses Table UV39 (Resident population) Table UV37 (Workplace population) Census output area Usual population aged 16 to 74 and their method of travel to work. The method of travel to work is for the longest part, by distance, of the usual journey to work.  Method of travel to work  Ordnance Survey Meridian & Address Layers 2 Polylines and points Railways, Stations (Tube and Rail), A, B and minor roads, motorways and car parks Infrastructure 2001 Census: Special Workplace Statistics Census output area Contains journey-to-work flows within and between output areas in England  Commuting patterns Table KS17 Census output area Car or van ownership per household Car Ownership Source Areal Unit Description Data
Datasets – space syntax Segments  angular choice is :   Measures the relative straightness of  each  segment from  all  other segments in the system. It calculates the number of times each segment falls on the shortest path between all pairs of segments where shortest path is that of least angular deviation -  Red lines  (high values) indicate greatest potential through movement. -  Blue lines  (low values) indicate lowest potential through movement.
Total number of map themes ,[object Object],[object Object],[object Object]
Developing the profiler
Transforming data into information Syntax graphs Database Data Inputs Data Processes Data Outputs Spatial Functional activity Social  characteristics Movement Commuting Travel Method Retail Industry Community  services Offices Car Ownership Demographic GIS Processing  code Map Images Map images php script Web Server Interface User java script 3016
Profiler Interface
Profiling the case study centres
Demonstration of the profiler ,[object Object],[object Object]
Advantages of using profiler – part I ,[object Object],[object Object],[object Object],[object Object],[object Object]
Advantages of using the profiler – part II ,[object Object],[object Object],[object Object],[object Object],[object Object]
How was the profiler used?  ,[object Object],[object Object],[object Object],[object Object],[object Object]

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Jones Et Al Gisruk 2008

  • 1. Towards Successful Suburban Town Centres Visualising London’s Suburbs Presentation to: GISRUK Thursday 2 nd April 2008 Catherine Jones, Muki Haklay, Sam Griffiths, Laura Vaughan Successful Suburban Town Centres Project EPSRC reference: EP/D06595X/1 http://www.sstc.ucl.ac.uk/profiler
  • 2.
  • 3.
  • 5. Case study selection Derived from Address Layer 2 Count of general commercial address locations in the 250m buffer Derived from Address Layer 2 Count of address locations class of offices in the 250m buffer Derived from Address Layer 2 Count of manufacturing address locations in the 250m buffer Town Centre Statistics 2002 Floor space per square hectare Town Centre Statistics 2002 Total number of Employees working town centre Derived from Address Layer 2 Count of general commercial address locations in the town centre Derived from Address Layer 2 Count of address locations class of offices in the town centre Derived from Address Layer 2 Count of manufacturing address locations in the town centre Variable Source Variable
  • 6.  
  • 7.
  • 8.
  • 9. Datasets and data processing
  • 10. Datasets – socio-economic Table UV31 (Resident population) Table UV76 (Workplace population) Census output area Data for population aged 16 to 74 by their socio-economic classification Classification of occupation Ordnance Survey Address Layer 2 Points Address Layer 2 is derived from the Royal Mail postal address file (PAF), whereby each address is allocated a unique reference and national grid reference. Functional activity land uses Table UV39 (Resident population) Table UV37 (Workplace population) Census output area Usual population aged 16 to 74 and their method of travel to work. The method of travel to work is for the longest part, by distance, of the usual journey to work. Method of travel to work Ordnance Survey Meridian & Address Layers 2 Polylines and points Railways, Stations (Tube and Rail), A, B and minor roads, motorways and car parks Infrastructure 2001 Census: Special Workplace Statistics Census output area Contains journey-to-work flows within and between output areas in England Commuting patterns Table KS17 Census output area Car or van ownership per household Car Ownership Source Areal Unit Description Data
  • 11. Datasets – space syntax Segments angular choice is : Measures the relative straightness of each segment from all other segments in the system. It calculates the number of times each segment falls on the shortest path between all pairs of segments where shortest path is that of least angular deviation - Red lines (high values) indicate greatest potential through movement. - Blue lines (low values) indicate lowest potential through movement.
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  • 14. Transforming data into information Syntax graphs Database Data Inputs Data Processes Data Outputs Spatial Functional activity Social characteristics Movement Commuting Travel Method Retail Industry Community services Offices Car Ownership Demographic GIS Processing code Map Images Map images php script Web Server Interface User java script 3016
  • 16. Profiling the case study centres
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