Geographic connectedness via Twitter locations

Jan 24, 2012

Eric Fischer has mastered the art of making use of geotagged things from social sites like Twitter and Flickr. In his most recent set, Fischer maps connectedness via geotagged tweet density (using Dijkstra’s algorithm). I just got back from Berkeley a few hours ago, so the map of East Bay travels is of most interest to me.

The main implication, as far as I am concerned, being that because of its traditional focus on downtown commuters, BART does not do a very good job of serving the most promising corridor in Berkeley and North Oakland, which would run approximately under San Pablo, University, the UC Berkeley campus, Telegraph, a jog over to College, Broadway, 40th/Linda, Grand, and some sort of route from the Grand-Lake district crossing Park Boulevard to near 14th and Foothill. Some of this, especially at the south end, would be difficult because of topography, but it could probably be approximated. Needless to say, if this were to be constructed, it would have to be pretty much entirely in subway to avoid tearing down the neighborhoods it would intend to serve.

There are also maps for New York and Chicago.

1 Comment

  • Brilliant in its simplicity! Yet another new dimension in tracking lived urban geographies. I can anticpate all sorts of interfaces on this i.e.: business or social transaction patterns; locations of economic or cultural clusters, indicators on concentrations of affluence and deprivation (and spatial juxtapositions of those)

Favorites

Unemployment in America, Mapped Over Time

Watch the regional changes across the country from 1990 to 2016.

Divorce and Occupation

Some jobs tend towards higher divorce rates. Some towards lower. Salary also probably plays a role.

Interactive: When Do Americans Leave For Work?

We don’t all start our work days at the same time, despite what morning rush hour might have you think.

A Day in the Life of Americans

I wanted to see how daily patterns emerge at the individual level and how a person’s entire day plays out. So I simulated 1,000 of them.