A re-visit to motivations and what became of them:
1. I wanted to visualize data - any kind 2. Tried at coming up with a correlation to determine/ some question 3. Finally dwelt on: architecture and its influence on tourist/ general experience of city space Hoped to it to generate visualization for a travel book.
4. Parameters dwelt with age/style of architecture and demographics of the space 5. Process became a little confused conceptually as mapping data was not looking at style but at age Demographic data was more of use to perhaps historical conservation agencies than a tourist. 6. A future comparison of architecture in various cities may yield information of similar spatial experiences.
An illustration of the process:
The Present form (?): Mapping New York's architecture by age
Who can use the visualization? 1. A Tourist: >>Guage style and density of the style of architecture by area >>Plan tour accordingly >>Get a sense of scale of architecture to visualize how it would feel being in that space
2. A conservationist/ urban planning department/ historian >>Guage style and density of the style of architecture by area >>Guage age of buildings and spread of NY buildings over time >>Guage relationships between architecture vs rent >>Guage relationships between architecture vs ethnicity/ownership >>Guage relationships between architecture vs land use etc.
1. Cons: The 'need' for the visualization has to be more fleshed out to determine what data needs to be correlated. Perhaps requires interviews with conservationists and tourists to determine that. 2. Pros: Got a hand at data collection techniques. 3. Where from here?: (a)Refine ways in which the visualization of building and styles can be shown (b)use the prototype to query conservationists and tourists to figure whether this tool is of any help.
The original idea was to create a scrap-book for New York, a sort of guide book that gives the visitor a glimpse into the experience of being in New York city rather than dry facts. Two precedents related to "experience" were (i) Ben Fry's Zipcode that makes finding locations viz zipcodes/addressed very easy (ii)Million Dollar Blocks by Columbia'a spatial information design lab that marks out the homes of criminals in New York and correlates the economic condition of the accused, focusing primarily on Brooklyn.
Role Prototype What could I discover about New York?: : The building on Grove Street where I live was build a hundred years ago. : The buildings between midtown and downtown remind me of Colaba in Bombay. : The buildings also enable the neighborhoods to have a sense of warmth, unlike modern structures. : The brick path on christopher street has a tile with the name of the family to whom the area belongs.
: Can correlations world over between buildings of similar age and their impact on their city? : Can they say something about the need for historical conservation efforts?
Implementation Prototype: Google Earth mashup? : Allows "location searching" with semantic data : Allows "layering" of information : Tools readily available
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