Sketch of geolocated tweets, manipulating the mesh surface below
Joining the project is Liangjie Xia, a programmer and media artist based in New York and a recent graduate from ITP.
The current project focus is on a data landscape comprised of geocoded social updates, forming narrative pathways according to themes (we are evaluating Twitter, Flickr and Foursquare as data sources). As they occur, updates add points to a basemap of Taipei, cumulatively changing the elevation of the landscape. Updates, represented as nodes, are selectable, and articulate the landscape based on other thematically related updates. Finally, we are exploring toggling between two views: the surface mesh outlined above, and a view exchanging the mesh for narrative pathways, represented by hairlines connecting nodes related by topic and time.
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I am currently working with Jason Hsu, organizer of TEDx Taipei, and Edward Shen, recent MIT Media Lab graduate, on a data visualization project aiming to document urban memory in Taipei. The project began with a dialog Jason and I started at TEDActive in Palm Springs earlier this year. Jason recently wrote a blog article comparing my earlier work Pastiche with Jonathan Harris’ We Feel Fine. As the project progresses, I will continue to post updates here. Below is a proposal that captures my initial thoughts on issues the visualization might seek to address.
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Mapping Foreclosures in the New York Region
Given that the New York Times Graphics Department is a winner in this year’s National Design Awards, it seemed opportune to look back at some of its recent work. Over the past few years, the Times has published many excellent interactive visualizations as counterparts to the equally brilliant static information graphics found in the paper, including the previously mentioned 31 Days in Iraq by Alicia Cheng. Each interactive is predicated upon a hypothesis and the evidence that supports it. Here, visualization is treated as a medium for journalistic inquiry by creating an editorial framework for the data on display.
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Mapping seems to float between two poles—symbolism and realism, or abstraction and dimensionality—as the attempt is made to either (with increasing accuracy) simulate a landscape or environment, or interpret it as a sign or composite of signs. At first glance, the former could be considered the predominant direction—technology leading the way in the gradual displacement of the latter. However, not only are both vectors alive and well: realism has been an ongoing pursuit in mapping as long as symbolism, and symbolism is equally seeing a new resurgence due to technological developments.
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The relationship between mapping and data visualization is somewhat ambiguous and generally ill-defined. In most cases, the two concepts are inextricably linked, and the terms mapping and visualizing are often used interchangeably. Yet, after some reflection it seems apparent that the two concepts are indeed distinct, that there are differences, and defining both in relation to each-other seems somehow imperative to understanding the territory.
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