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Gis update2010 som-legibility

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Presented at http://www.geo.ed.ac.uk/gisupdate/ in 2010

Presented at http://www.geo.ed.ac.uk/gisupdate/ in 2010

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  • 1. Understanding ‘Desakota’: The Case Study of Jakarta Vlad Tanasescu , William Mackaness , Stephen Cairns, Ray Lucas http://ddm.caad.ed.ac.uk/groups/jakarta/
  • 2. Outline
    • Jakarta
    • Desakota
    • Maps, Video & Questionnaire
    • Self Organising Maps
    • Interpretation
    • Conclusion
  • 3.  
  • 4. Jakarta
    • Global City of the South - Fourth most populous city in the world: 23 m
    • Elevation 4m
    • 87% Muslim
    • Poverty, congestion, horrendous traffic, stifling pollution, endemic corruption
  • 5.  
  • 6. Focus
    • The Image of The City by Kevin Lynch:
    • the legibility of the city - "...the ease with which its parts may be recognised and can be organised into a coherent pattern."
    • Our focus: the Desakota
    • Longitudinal study: ‘a strip’
    • Research questions..perception, opportunity, impediment..
  • 7. Desakota
    • ‘ village – town’
    • Sociological, ecological, political, informal space….
    • Differentially stressed…eg access to services
    • Rapid displacement, migration, commercialisation commercial/ subsistence agriculture
    • mixed household economy - straddles the periurban
  • 8. The Urban
  • 9. The Rural
  • 10. Kampung, Desa, & Gated Communities
    • Kampung – urban settlement
    • Desa – rural village
    • Gated Communities
  • 11.  
  • 12.  
  • 13. Methodology
    • Architectural students
    • Interviews
    • Cognitive Maps
    • Questionnaires
  • 14. Methodology
  • 15.  
  • 16. Questionnaire
    • Ethnicity
    • Community
    • Land ownership
    • Education
    • Access to services
    • Social isolation
    • Mobility
    • … .
    • 1000
    • 39 variables
    • Data preparation -Normalisation
  • 17. Tenure Community Occupation City_visit Access to service Ethnicity Mobility Education
  • 18. Self Organising Map
    • “ a similarity graph, and a clustering diagram, too. Its computation is a nonparametric, recursive regression process” (Kohonen, 2000)
    • Form of artificial neural network.
    • Computationally intensive.
    • unsupervised learning algorithm (neural networks)
  • 19. Purpose
    • Represent high-dimensional data in a low-dimensional form without loosing any of the 'essence' of the data.
    • Organise data on the basis of similarity by putting entities geometrically close to each other.
  • 20. SOM
  • 21.  
  • 22.  
  • 23. World poverty map http://www.cis.hut.fi/research/som-research/worldmap.html
  • 24.  
  • 25. Component planes Ethnicity: Betawi, Javanese, Sudanese, Other A
  • 26. Isolation
  • 27. Isolation… both Desa and Kampung
  • 28. Recent development City resident: time Land ownership Gated medium large Communities:
  • 29. Melting Pot Kampung Desa Betawi Sudanese Javanese Other
  • 30.  
  • 31. Principle Component Analysis
    • Patterns among high dimensional data
    • Calculates eigenvectors from covariance matrices
    • Measure variability in responses, discern and account for groupings, identify opposing groups
  • 32.  
  • 33.  
  • 34.  
  • 35.  
  • 36. Conclusion
    • Exploring the Desakota
    • Combination of EDA techniques
    • ‘ linking’ with video
    • Further Develop methodology
    • Apply in China and India – global cities of the south..