Well, actually, your author is driving back from Ganister today. Unfortunately, while on holiday I was not working (nor was I planning to.) So while I could of run silent today, I wanted to share with all of you again a project I created last year about my return drive from Ganister. For all of who familiar with the piece, I apologise for my re-posting of previous work. For those of you unfamiliar with the work or with Ganister and its distance/remoteness, enjoy. (It’s full-size, so no click-for-higher-resolution.)
Of 2048. Well, kind of. Lately the country has been talking a lot about immigration and its impacts because of this bipartisan desire to achieve some kind of result on an immigration bill working its way through the Senate. One of the common thoughts is that if we legalise a whole bunch of illegals or document most of the undocumented (I’ll leave the language for you to decide), the new American citizens will overwhelmingly vote Democratic and there goes the Republic(an Party).
Nate Silver—yes, that Nate Silver who accurately predicted the presidential results and a whole bunch of other stuff too—looked at a more complex and more nuanced set of demographic variables and found that the aforementioned argument greatly oversimplifies the results. The problem is not entirely the entry of newly documented or illegal workers. Instead, there are systemic demographic issues.
So here comes the New York Times with an excellent data explorer and forecast modeller. You can set the year to examine and then set the results of the immigration debate with how many immigrants are made legal/documented and then how many of them vote. After that you can begin to adjust population growth, voting patterns, &c. to see how those affect the elections. (The obvious caveats of acts of god, party platforms, candidates, &c. all hold.)
2048 Results
The fascinating bit is that if you keep the demographic patterns as they are currently, adjusting the immigration factors at the outset have very little impact on the results. The country is moving towards the current Democratic platform. Even if 0% of the undocumented/illegal immigrants become documented/legal, and if 0% of 0% vote, the result is still a landslide for the Democrats. The real changes begin to happen if you adjust the population growth rates of the legal/documented citizens and voters. But those patterns/behaviours are a lot more difficult to adjust since you can’t legislate people to have more babies.
All in all a fascinating piece from the New York Times. The controls are fairly intuitive, drag sliders to adjust percentages. The sliders have clear labels. And the results on the map are instantaneous. Perhaps the only quirk is that the ranges of the colours are not detailed. But that might be a function of forecasting the data so far into the future and having growing ranges of certainty.
Credit for the piece goes to Matthew Bloch, Josh Keller, and Nate Silver.
Today I have more immigration-related information graphics and data visualisation for you. Earlier this week the New York Times looked at immigration to California, but this time the focus was on Asian population growth and not Hispanic. The graphic here supports an article looking at where the growth has been focused in California. And given that emphasis, the map accompanying the article makes sense. And as the reader can clearly see, much of that growth has been centred in the San Gabriel Valley and Orange County.
Following on last week’s posts onimmigration comes today’s post on how that might impact Republican politics. Well I say might but pretty much mean definitely. The graphic comes from the Wall Street Journal and it takes a look at the demographic makeup of states, House congressional districts and then survey data on immigration broken into Republicans vs. Democrats.
The GOP's Tricky Terrain
I think the piece is a good start, but at the end of the introductory paragraph is the most salient point about the piece. And unfortunately the graphic does not wholly embody that part. Of course within limited time and with limited resources, achieving that sort of completeness is not always possible. That said I think overall the piece is successful, it just lacks that finishing graphical point.
Credit for the piece goes to Dante Chinni and Randy Yeip.
The other day I posted an example of a good cartogram, actually a pair of good ones from the New York Times. Today, I wanted to share another good example. The Economist created this cartogram, map of Great Britain’s constituencies. What is perhaps most effective in this chart, even more so than in the Times’, is its use of a “traditional” map form for comparison. You quickly get a sense of how large rural Britain’s constituencies are compared to those of London.
After the capture this weekend of the second suspect in the Boston Marathon bombing, the Washington Post published an interactive piece that looked at the entirety of the story. It captured the bombing, looked at the investigation, then the manhunt, and finally the capture of one of the suspects.
The piece incorporated static diagrams along with video and interactive navigation to tell the story in day-sized chunks on the screen. When taken together as one whole piece, it is quite impressive.
The capture of one of the suspects
Credit for the piece goes to what may well be the entire graphics staff of the Washington Post: Wilson Andrews, Darla Cameron, Emily Chow, Alberto Cuadra, Kat Downs, Laris Karklis, Todd Lindeman, Katie Park, Gene Thorp, and Karen Yourish.
The Kepler observatory is responsible for finding Earth-like planets in distant solar systems. It was launched only in 2009, but has been incredibly successful. Earlier this week scientists announced the discovery of Kepler 62, a star system that has five planets. Two of those planets exist within the Goldilocks zone, where conditions are just right for habitable planets (for Earth-like organisms) to form and exist. Of course, not all planets in such zones are habitable, look at Venus and Mars for examples. But still, the news is quite significant.
Over at the New York Times, Jonathan Corum plotted all the data on all the systems so far discovered by Kepler, including that new information on Kepler 62. The result is a mesmerising view of star systems beyond our own. The stars are planets are enlarged for visibility and the orbits are made a bit more circular, but the overview is still fantastic.
The chart shows the relative sizes of the stars and their temperatures and allows you to compare the orbits of the planets so far known. You can also sort the chart either by size or time of discovery. It also shows the relative times of the planets’ orbits. That is, they move…
The Kepler star systems
Fans of this will remember that in 2011, the New York Times used a similar, albeit static, method to explain the discovery of planets at Kepler 20, whose planets all orbit closer to their star than Mercury to ours.
Today’s post comes from the New York Times and offers more detail on the twin terror bombings Monday. While the topic is surely gruesome, the interactive graphic is clean without the inclusion of photos or videos of the violence. It focuses on the facts without the fanfare or sensationalism to which we are accustomed from a media that too often needs it to draw and sustain viewership. A sober and informative piece from the New York Times.
Details of the Boston Marathon Bombing
Credit for the piece goes to the graphics department of the Times.
Continuing this week’s map theme, we have an example of a cartogram from the New York Times. This piece supplements an article about how some manufacturing companies are starting to look away from China as a place for their facilities. There are two maps, the first (not shown here) looks at economic output overall. The second (below) takes that output and accounts for population.
GDP per capita
Hexagons are used instead of the more familiar squares to represent 500,000 people and the colour is the GDP per capita. The text accompanying the graphic explains how this is a measure of economic potential being (or not being) realised. But what the hexagons allow the map to do is better represent the shapes of the countries. Squares, more common in cartograms, create awkward box-like outlines of countries. That would be fine if countries were often shaped like squares, but they are not.
I am not often a fan of cartograms, but I find this one well executed and the annotations and explanatory text make what might otherwise be confusing far simpler to understand. All in all, a solid piece.
Credit for the piece goes to Mike Bostock and Keith Bradsher.
