Analysing the Urban Environment

Via the Guardian comes an interactive piece from researchers at MIT and the Technical University of Lisbon that allows users to examine urban environments to compare population, energy use, and building material intensity for a select set of 42 different cities. The screenshots below are of neighbourhoods in Philadelphia.

Population density
Population density

Once the user has chosen an area, he or she can move on and analyse a different section of the city. This behaviour generates a comparison on the right of the current area to the previous area.

Energy use
Energy use

After the user has found an area of particular interest, he or she can generate a graphical report that summarises the findings for the selected area and compares that to other areas of similar scale in the city.

Graphical report
Graphical report

Credit for the piece goes to David Quinn and Daniel Wiesmann.

French Politics, Elections, and Data Visualisations.

The US is not the only country with elections in 2012. Actually quite a few other places have had them, will have them, or are in the midst of having them. The latter includes France, which had the first round of its presidential election earlier this week.

To put it simply, France has a first round to narrow the whole field to just two candidates—lots of democracies outside the US have multiple party systems that mean more than just two parties—and then a second round between the last two. Nicholas Sarkozy was thought likely to win the first round and then lose the second, but he instead lost the first outright. He still isn’t expected to do well in two weeks’ time. But, the French media of course produce infographics just as US, Canadian, and British media do. Except unlike the last three, French infographics tend to be in French and I tend to not read them because, well, I cannot.

But pictures and colours make it easier. Socialists like red. Centre-right like blue.

From Le Figaro comes a map of the results. The island-looking thing on the right is Paris, beneath that Corsica, and then the bottom are the various overseas territories and departments that all vote.

Election results by French department
Election results by French department

The question with French presidential elections—and in fact any country that has run-off elections—is what happens to the voters of the losers? For whom will they vote in the second round? Le Figaro also has an interactive piece that allows the user to play out different scenarios based on how many voters will not show up and of those who do, how they split their vote. Again, it’s in French, so I had to assume some things when playing around with the controls and then know a few things about French politics.

Scenario builder for Round 2
Scenario builder for Round 2

From Le Monde, another respected French media source that I have featured on more than one occasion, come some simpler visualisations of the results but with some nice features for comparison. The first is obviously a look at the 2007 results. (Anybody recall Segolene Royal? Her ex-husband/partner is Francois Hollande…the guy running for the Socialists this time round.)

Election results of 2007
Election results of 2007

But another interesting view is that of the results strictly from 2012’s first round.

Election results 2012, Round 1
Election results 2012, Round 1

But with the added feature of comparing those results per party to their performance in 2007.

Round 1 comparison, 2012 to 2007
Round 1 comparison, 2012 to 2007

There are always interesting things going on in politics when it comes to data visualisation and infographics. We just have to look outside the US from time to time.

Santorum Quits. Goodbye…and Thanks for all the Varicose Veins.

So Rick Santorum is now out of the race. Mitt Romney is basically now set to run against the President. But why should Santorum go out without an infographic looking back at the Republican primary race. (Since neither Newt nor Ron come even close to running the same race as Rick.)

The New York Times put out an infographic looking at Rick Santorum’s campaign. And as one can see, he did do well in the evangelical and Christian conservative heartland of the United States. It just was not quite enough to beat Romney’s supporters.

County leaders in Republican primary states
County leaders in Republican primary states

But, Santorum did manage to last longer in the race than many others have in recent years. So who knows, depending on how the election in November turns out, we may just see more of Rick in the future.

A timeline of withdrawal
A timeline of withdrawal

Power Pitching (And Who’s Paying)

And the baseball season is kicking off (perhaps a bit slowly for my 1–3 Red Sox, but I’m not worried…yet). The Washington Post, the newspaper for those most likely to be following the Washington Nationals, put out a little while ago an interactive graphic looking at the payroll figures for the Top-3 starting pitchers in each team’s rotation.

Comparison of AL East and Central Pitching Contracts
Comparison of AL East and Central Pitching Contracts

Credit for the piece goes to Sisi Wei and Todd Lindeman.

Executive Compensation

Everybody knows that executives make a lot of money. But not all of it comes from just salary, some comes from bonuses, stocks, options, and other perks. So who makes the most?

The New York Times put together an interactive piece with data from Equilar about the 50 most-highly paid chief executives from companies over $5 billion in size. The data is arranged as stacked bars, with—when available—2010 data to compare to 2011. The order can be sorted a number of different ways and the executives on display can be filtered by what industry his or her—granted only 3/50 are women—company works in.

Executive compensation
Executive compensation

Credit for the piece goes to Lisa Waananen, Seth Feaster, and Alan McLean.

I’m On a Quest

For those that may have missed it, earlier this week Google released its newest addition to its Google Maps product offering: the 8-bit Quest map. Never before has the world been seen in such high-resolution. And if you look close enough, you might even be able to spy some interesting features.

America…if only Vespucci had a map like this
America…if only Vespucci had a map like this
The Chicago metropolitan area
The Chicago metropolitan area
My old stomping grounds
My old stomping grounds
Monsters in the southeast suburbs, another reason not to visit Indianapolis…
Monsters in the southeast suburbs, another reason not to visit Indianapolis…
Scranton–Wilkes-Barre is also under monster threat…
Scranton–Wilkes-Barre is also under monster threat…
Wolfman…I'll be near him when on holiday next weekend…maybe I'll okay…
Wolfman…I'll be near him when on holiday next weekend…maybe I'll okay…
And if you know where Swedesboro is you get bonus points…
And if you know where Swedesboro is you get bonus points…

Happy Monster Hunting Quest.

Rising Seas

Via the Guardian, Stamen Design has teamed up with Climate Central to create an interactive piece that maps the potential effects of rising sea levels. The user has control over the amount of the rise—this graphic says four feet—after which the coastline recedes to reveal the devastation. This is complemented by statistics of the land, including the population potentially affected along with the number of homes and total acres. In this case you see South Jersey, which is where I spent my summers. As you can see, the coastal beach towns I called home would be underwater. (And the little blue specks inland in Pennsylvania near my hometown, those are quarries; nobody lives there. No need to worry.)

Changing coastline
Changing coastline

The problem, of course, is that a large percent of the Earth’s population lives near the ocean. There are not, after all, many people living in the interiors of the continents. So receding coasts may very well be a problem in the coming years.

Follow the Money

Follow the money is almost always good advice. And in this case, the journalists over at ProPublica have done just that. They have visualised just where the campaign (and Super PAC) dollars are going using an interactive Sankey diagram.

Who pays what where
Who pays what where

And then for those interested in how this was made, ProPublica provides those details as well.

Via my colleague Lauren Beth.

Credit goes to Al Shaw, Kim Barker, and Justin Elliott.

Heritage Maps

From FlowingData comes a post to an interactive piece by Bloomberg that looks at the geographic distribution of different heritage—read heritage, neither race nor ethnicity—groups. (Its choice of groups, however, is slightly contentious as it omits several important ones, including African-Americans.)

I would say that a typical map like this would simply plot the percent of each county, state, or other sub-division for the selected heritage group. Much like below, as I chose the Irish.

Irish heritage
Irish heritage

Bloomberg’s piece is a bit more interesting than that because of the ability to compare two groups, to see where they overlap and where they diverge. In doing so, they created a divergent choropleth that can show the subtleties and nuances of settlement patterns.

Irish vs German
Irish vs German

Credit for the piece goes to David Yanofsky.

Bringing 19th Century Mapping Techniques to the 21st Century

Charles Booth was a 19th century social scientist living in Britain. He famously investigated poverty and mapped out which parts of London were teeming with vicious, lower-class criminals or well-to-do upper class folks. Today, one might use a simple choropleth style to paint whole swathes of London by postal districts or constituencies or some such. But, Booth went street-by-street and house-by-house colouring blocks of London’s residential areas until he arrived at a map far more complex—and thus ultimately more telling—of the intricacies of London’s social structure.

from Booth's original map
from Booth's original map

Oliver O’Brien has created a modern take on Booth’s approach to investigate the housing demographics of the UK, which ignores the large areas of the British countryside that are devoid of homes and thus focuses on the denser residential areas of the UK’s major cities.

Eastern London
Eastern London
Barking and Dagenham
Barking and Dagenham

Censuses seem to be a natural dataset for such work, but I wonder if in the future we will be able to apply such data visualisations to other geographically-tied data.