Supporting an article about how the clouds are the last great hope for the climate change skeptics, the New York Times published an interesting infographic that looks at cloud cover and insolation, the amount of solar energy that irradiates the planet.
The main feature is an animation of a year’s worth of cloud cover. The mapped data begins to clearly show the difference between air circulation over the oceans and over land, with the interface between the two creating the rough outlines of the continents.
Cloud map
Supplementing the animation are four small multiples of different measures that look at energy and its conservation across the planet.
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
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.
Cholera. It’s more than just a disease on the Oregon Trail. It exists in the 21st century, though typically we do not experience it in the industrialised Western world. Where one does see it crop up are in places with poor sanitation, which is usually in the developing world. But, if one were to take a developing country and then in a few seconds wreck the national infrastructure in a devastating earthquake, one could see the creation of the right conditions for an outbreak.
Sadly, that is exactly what happened—and to a lesser degree is still happening—in Haiti. The New York Times wrote about the problem in an article in the Sunday edition. The article was accompanied by an infographic that mapped the spread of the outbreak geographically and then its intensity over time.
Cholera outbreak
Credit for the piece goes to Joe Burgess and Lisa Waananen.
Given the absence of a post yesterday, I took some time to do a small catch-up piece for you all. Those who know me offline are well aware that I document many things about my life including when I happen to drink tea. (And that’s often.) Finding myself with some unexpected time, I looked through the data that I have amassed since 1 January through to 28 March. While I aim to do more with this dataset someday, for now consider this a start. And now a self-surveillance infographic. On drinking tea.
Tea consumption
It is interesting to note that I have in fact had tea every single day so far this year.
The civil war in Syria rages on. The following graphic from the New York Times accompanies the article and uses a calendar-style timeline to look at the mounting death toll. The visualisation type appears more and more often for time-based data sets shaped around days; we all (usually) understand how calendars work and are shaped.
In this particular case, specific key dates and images are brought out of the timeline and featured on the left. These provide an additional context to the human side of the story that may otherwise be left in the dates and deaths on the right.
A problem with such a design is the length of the year, which might preclude users of small screens from being able to see the entire year in one screen-height. I am left to wonder about whether the user can make an adjustment to a horizontally-scrolling calendar and if in the future such arrangements may better take advantage of widescreen monitors.
Sunday in the New York Times, an article on bicycle delivery had an accompanying infographic. It detailed the dinner route of the article’s main individual. The piece is an interesting use of small multiples to provide a timeline of a route, while each new delivery maintains the old paths for reference. And from a data perspective, I found it good to acknowledge the one instant where the follower lost contact with the delivery man.
Somalia is beset by a bevy of problems; from an Islamist insurgency that holds great swathes of the south, to the de facto independent regions of Somaliland and Puntland in the north, to the pirates operating off the coast, to the barely functional government in Mogadishu that controls only sections of the capital through the backing of an African Union peacekeeping force, to the recent famine that devastated the south of the country.
The famine, which ended formally ended only earlier this month, is the focus of an interactive piece by the Guardian. It examines how the tragedy unfolded, especially when early indicators pointed to the likelihood of a famine. Through a timeline, the piece marks out what happened when—probably important as not all readers may be familiar with the details of the disaster—atop a chart that visualises the aid given to Somalia. Other line charts describe who donated and when.
Timeline of the story and how that compares to donations
The most interesting, however, is an investigation into what (perhaps) spurred the donations. Using the same timeline as a common base, it charts when donations were made against mentions in six US and UK media outlets against Twitter mentions and Google Search Insights.
Donations overlap with media mentions
With this last bit in particular, the Guardian has attempted to use data visualisation to support an argument made in accompanying text. Often times data visualisation and infographics will simply document an event or provide facts and figures. Here, however, an attempt was made to link the aid effort to media coverage (90% of aid came to Somalia after the story broke in the media), perhaps to show causation. But, the writer admits that ultimately the visualisation can only show the overlap or correlation, which the writer further notes is itself consistent with academic debate over the existence of the “CNN effect”.
Credit for the piece goes to Claire Provost, Irene Ros, Nicola Hughes, and the Guardian Interactive Team.
The crisis in Syria now resembles more of a civil war. The UN General Assembly has condemned the conflict and passed a resolution calling for Bashar al-Assad to step aside along with a host of other steps to resolve the conflict. However, nothing can happen until the Security Council agrees on a measure, which is still unlikely given the previous vetoes by China and Russia.
This piece from the Guardian chronologically explains what has been happening—at least as best as can be determined in the not-so-media-friendly country. As this story focuses on dates and places, a map feels natural. The designers have added some crucial details from the backstory about the ethnic complexities of the country and denoted the larger and more important urban centres.
An overview of Syria
When one clicks on a date, coloured by what part of the story is taking place, markers with text boxes overlay the original city markers and provide the user information on what happened in that city on that date. Or, if the event is more general, the box appears outside the borders.
Syria on 9 Feb 2012
The interface is rather simple, but works in focusing a person in on a time. Unfortunately, since much of this story can be seen through the lens of locale, e.g. the city of Homs has borne the brunt of al-Assad’s wrath, one cannot focus in on a place and then add time. For example, clicking on the marker for Homs and then seeing a chronological list of events that occurred there would also be quite useful.
Another slight improvement would be more clearly signifying the date being viewed. It does appear in the text box, but with the visual prominence of the main navigation at the top, on a few occasions when I was going through the piece, I did forget what date I was on and had brief moments of confusion.
I don’t know about you, but to me, it’s beginning to look a lot like campaign season. At least from what I read on the internet. Because, according to this interactive piece by the Washington Post, there has been little local campaign spending on ads in the Chicago television market.
Mad Spending
By clicking on the left, you are able to see the spending amounts and spending places of ads by both personal campaigns and interest groups. For national ad campaigns, there is a small outline of the continental US in the bottom left.
Above the map you have some facts about the spending and spending over time and a curious bit about whether the ads are positive or negative. Already if you move from the beginning to now, you can watch the positive ad number slip.
